SEARCH ENGINEERING RESEARCH PAPERS

Web Mining Research papers 2015



A Survey on Web Personalization of Web Usage Mining
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Abstract: Now a day, World Wide Web (WWW) is a rich and most powerful source of information. Day by day it is becoming more complex and expanding in size to get maximum information details online. However, it is becoming more complex and critical task to

A NOVEL APPROACHES IN WEB MINING TECHNIQUES IN CASE OF WEB PERSONALIZATION
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Abstract: Web mining is the application of data mining techniques to extract knowledge from Web. Web mining has-been explored to a vast degree and different techniques have been proposed for a variety of applications that includes Web Search, Classification and This mini-track has four papers that are about developing analytic systems for decision support by means of data, text, or web mining. Three of the four papers focus on an increasingly more popular area of analytics (ie, text mining) called sentiment analysis.

Techniques for Web Mining of Various Forms of Existence of Data on Web: A Review
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Abstract: Information extraction is known to be the task of extracting knowledge from any meaningful text automatically. It provides services to the users who retrieve the information by firing query on Internet. When huge amount of information is extracted from large

An Intelligence System Based on Social Web Mining and Its Application in Health Care in Hong Kong
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Abstract:In China, two systems Chinese Information system for disease control and prevention (CDC) and the National Adverse Drug Reaction (ADR) Monitoring System--have been established for monitoring infectious diseases and for reporting ADR events.

A Preliminary Review of Web-Page Recommendation in Information Retrieval Using Domain Knowledge and Web Usage Mining
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Abstract: With the rapid growth of internet technologies, The web has become the world's largest repository of knowledge. So it is challenging task of the webmasters to organize the contents of the particular websites to gather the needs of the users. This paper presents a

Application of Data Mining in Personalized Remote Distance Education Web System
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Abstract: This paper uses web log mining technology for different users to take a different service policy and provide different services and conduct individualized services. Also the paper uses basic theory application of web data mining to remote education process in

An Analysis of Recent Trends and Challenges in Web Usage Mining Applications
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Abstract:The World Wide Web is an interactive and popular way to transfer the information. A massive quantity of information is available over the internet. Now-a-days web mining is one of the significant topic in data mining, which is used to extract information from web

Chinese-English Translation of Organization Names Based on a Translation Model and Web Mining
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Abstract. Organization name (ON) translation is the most complex among all the Named entities (NEs). A novel system for translating ONs from Chinese to English, with a translation model and web resources is proposed. Firstly, a translation model was built with Chunk

Different Resources of Taxonomy Building Methodology in Web Mining
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Abstract:Web Mining has become an important research area. Web Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. In this paper, a Survey of Web Mining techniques and

Review on Web Content Mining Techniques
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ABSTRACT Web data processing is the method of handling high volume of data. Previous research explains that handling/processing such data is not easy. Therefore, researchers utilize web mining, deals with identifying patterns, which user require. The second phase

To Study Web Pattern Discovery with Web Usage Mining
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ABSTRACT Web Mining is a technique to know about user s behaviour to access various web pages. Web mining can be defined as the discovery and analysis of useful information from the World Wide Web (WWW) in broad manner. Web mining is basically a technique

Hybrid Clustering Methods for Web Usage Mining
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Abstract: There is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. In this paper, a new approach is presented based on hybrid clustering methods for Web Usage Mining. The WUM process contains three steps:

AN EFFICIENT AND NOVEL APPROACH FOR WEB SEARCH PERSONALIZATION USING WEBUSAGE MINING
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ABSTRACT Generally each user has a different background and different needs when he/she searches for any information on the web. For the same query issued by different users, most of the search engines return the same results to all users, without considering

RecB: Set Theory based Technique for Large Scale Pattern Mining in Web Logs
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ABSTRACT Web Analytics is a way of turning raw data into actionable information. Large organisations own web based applications and connect to external databases which generate very large web logfiles. It then becomes crucial to estimate how information

A Unified Framework for Ontology Driven Web Mining and Semantic Clustering of WebDocuments
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Abstract:The objective of the paper is to propose a framework for web mining. An architectural pattern for multilayered architecture that implements ontology driven web mining and semantic clustering of web documents is proposed. The paper discusses a

Web Data Mining Techniques and Implementation for Handling Big Data
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Abstract-Nowadays, Web becomes an important part of organization. The huge usage data as a result of interaction of users and Web can be extracted to be knowledge applied in various application. Analysis of web site regularities and patterns in user navigation is

An Effective Web Mining-based Approach to Improve the Detection of Alerts in Intrusion Detection Systems
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Abstract The Internet and its applications are growing every day, so is the complexity and the number of cyber attacks. Thus it is essential to use different security tools in order to protect computer systems and networks. Among these tools, Intrusion Detection Systems (IDSs)

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review
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Abstract:Web mining is an exciting discipline in the domain of data mining as well as in classification/clustering. Identifying the usage patterns of users is very important in utilizing the vast information available in the World Wide Web. Web usage mining entails

Web mining techniques for extraction of news
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Abstract:In this quick moving world, electronic media assumes significant part in individuals' normal life. Electronic media conveys most recent news and exceptional data faster than conventional daily papers. A portion of the news advantages individuals others

WEB MINING ON INDONESIA E-COMMERCE SITE: LAZADA AND RAKUTEN
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ABSTRACT E-commerce site grows rapidly since it allows someone to shop online quickly and easily without having to meet seller directly. This saves time, effort, and cost in transaction although it doesn't always provide what the customers need. They must visit

Efficient Clustering of Web Documents Using Hybrid Approach in Data Mining
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Abstract-There is a huge amount of data present on internet. The procedure to find important information on the web can be very hectic. Using today's search engines it is hard to go through the big number of returned urls and documents. Hence there is a need to arrange

Graph Mining Meets the Semantic Web
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Abstract:The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema- free data interchange on the Semantic Web. Today, data scientists use the framework as a

Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study
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Abstract Background: Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the severity information of ADEs that is critical for prioritizing the medical need. The objective

Extracting Semantic Relations from Web by Using Mining Techniques
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Abstract: As the increasing change burst of different what is in produced on the net of an insect, recommendation techniques have become increasingly necessary. a great number of different kind of recommendations are made on the net of an insect every day, including

Web Personalization using web usage mining: applications, Pros and Cons, Future.
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Abstract Now a day's browsing web has become an important part of our life style. The data flow inside the web is very easy and speedy as a result the web has become the Centre of data transactions. The different users have different experience in web. So we can say that

Ranking buildings and mining the web for popular architectural patterns
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ABSTRACT Knowledge about the reception of architectural structures is crucial for architects and urban planners. Yet obtaining such information has been a challenging and costly activity. However, with the advent of the Web, a vast amount of structured and unstructured

Data Integration and Mining based on Web Big Data
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Abstract As the revolution of Web 2.0 technology, more and more novel service industries, such as social network, web of things and mobile internet emerge. The data of Web explosive growth is called the big data, which is hottest. Because of the great value of big

ODMM-AN ONTOLOGY BASED DEEP MINING METHOD TO CLUSTER THE CONTENT FROMWEB SERVERS.
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ABSTRACT ODMM aims to present a novel ontology-based content-mining approach to cluster research proposals deep web search based on their similarities. The used method is efficient and effective for clustering research proposals with English texts. Text-mining

Error Checking for Chinese Query by Mining Web Log
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For the search engine, error-input query is a common phenomenon. This paper uses web log as the training set for the query error checking. Through the n-gram language model that is trained by web log, the queries are analyzed and checked. Some features including

A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence
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Abstract: In Modern days, to enrich e-business the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper to address these issues a

Analysis of web mining for web Personalization
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ABSTRACT: The web usage mining activities that aims at extracting models of the steering behaviour of web site users. The models ar inferred from the access logs of a web server by suggests that of data and web mining techniques. The extracted information is deployed to

Effective Preprocessing and Knowledge Discovery in Web Usage Mining
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Abstract: In this paper, we present a new methodology for the effective web usage mining. Here we introduce a new technique for the effective preprocessing and web user mining by associating the offline web usage mining information with the online web usage mining

Eliminating Duplication in Mining Weakly Labelled Web Facial Images Using Supervised Machine Learning
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Abstract Annotation is a metadata attached to text, image or other data. There are many annotation techniques available for tagging the facial images. As millions of images are shared by the users with some name tagged in it, but it is not done properly. The proposed

A Web Navigation Frame Work to Identify the Influence of Faculty on Students using Datamining Techniques
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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Analyzing the Different Attributes of Web Log Files To Have An Effective Web Mining
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ABSTRACT With technological advancement and growing popularity of the Internet and World Wide Web (WWW, W3), a large number of Web access log records are being collected in the form of Web log files. Web access log contains huge volume of raw data

Knowledge Retrieval from Web Server Logs Using Web Usage Mining
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Abstract: Now a days the data of internet is increasing day by day and web-based applications are very common. The main problem that faces any website admin or any web application system is data increase per-second, which is stored in different types and

Web Mining in Search Engines for Improving Page Rank
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Abstract: An application of web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this research, a survey of page ranking algorithms and

A Study of User Navigation Patterns for Web Usage Mining
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Abstract-Web Usage Mining is used in discovering navigation patterns and show how those discoveries can help in assessing and improving the quality of the site. By quality we mean Providing the desired content with minimum effort to the web user. The insight of the

Web Content Mining equipped Natural Language Processing for handling web data
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Abstract: The growing usage of the web has unfolded the Web mining technology to a great extent. Web mining helps in extraction of useful knowledge from web data.(ie a range of web pages, hyperlinks among various pages, web sites usage logs and so on. This paper has

SEMANTIC WEB MINING and IMPROVING PERFORMANCE
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Data mining is a procedure of understanding knowledge from such huge data. Our main problem is to mine information from web because there is huge amount of data on web which is unstructured way. Semantic webs offer us a smart service in which we can

A Review of Focussed crawling techniques in Web mining
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Abstract In this review, we have studied concepts and techniques of web mining technologies and its importance. We have reviewed two important web mining techniques and looked at their concept and general theory along with their pros and cons. Then we

Data Preprocessing: A Milestone of Web Usage Mining
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Abstract:-. Internet is today full of structured or unstructured information. and this information is directly or indirectly influencing society or peoples. Because today internet is part our daily life activity. But using this abundant and ambiguous in most efficient manner in useful

Survey on Recommendation System Using Semantic Web Mining
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ABSTRACT: Recommendation system becomes an essential in web applications that provide many services and suggest some services automatically as per user's interest. To develop a recommender system, the collaborative filtering approach is the well-known

Emerging Trends of Clustering Techniques In Web Usage Mining
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Abstract-: Web clustering is the process of grouping similar objects together in such a way that the objects belonging to the same group are similar and those belonging to different groups are dissimilar. Web clustering technique can be used in many applications for

PAGE CONTENT RANK: AN APPROACH TO THE WEB CONTENT MINING
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Abstract: World Wide Web is a system of interlinked hypertext documents that are accessed via the internet.. However, Information on Web continues to expand in size and complexity. Making the retrieval of the required web page on the web, efficiently and effectively, is a

Augment the web navigation efficiency by Reconciling Website System with Web MiningTechniques
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Abstract: In this paper, our approach is reorganizing Web sites based on user accessing is proposed. Our goal is to build Reconcile Web sites by evolving site structure to facilitate user browsing. Today's world www grows massively. It increases the intricacy of web

SIGNIFICANCE OF WEB USAGE MINING IN MACHINE STUDY
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ABSTRACT: The WEB has been provided that a crucial and essential platform for receiving data and circularize data as well as interacting with society on the web. With its astronomical growth over the past decade, the web becomes vast, completely different and dynamic.

Query Based Search Results Using Web Mining System And Ontology Approach
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Abstract:Internet has become an enormous and updating information warehouse, and provides a new source for information gathering to user. Searching web information on the web can be challenging task for user as relevant information is not as per context. The aim

Decision Making System Through Web Usage Mining and Analysis of Pattern of Web Use
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Abstract-Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web sites. In response to the two challenges, The generic framework, applies Data Mining

Focused web crawling for mining relevant web pages using SVM classifier
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Abstract The web crawling has an unmatchable advantage in this fast growing world with fast growing internet demand. We in this paper have intended to make our search for particular web pages on the web more sophisticated, by using some features of the

Use Of Ontology And Web Usage Mining For Web-Page Recommendation
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Abstract:As the Web rapidly evolved into an immense repository of content and continues to grow at an exponential rate, human users discovered that they could no longer effectively identify the content of most interest to them or receive ambiguous results when they try to

A Comparative Study of Rule Mining Based Web Usage Mining Algorithms
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Abstract: Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the web. It also becomes very critical for effective web site management and for creating adaptive web sites, business and support

A Comprehensive Comparison between Web Content Mining Tools: Usages, Capabilities and Limitations
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Abstract: Today, with significant increases in data volume and web development, the necessity of techniques and methods for efficient access to data and web mining is more than ever. Web mining, is the process of data discovery of unknown and useful knowledge

Deep Web Search in Data Mining for Data Extraction
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Abstract:-WWW stands for World Wide Web, and it is an advanced information retrieval system. As years passed World Wide Web became weighed down with information and it became hard to retrieve data according to the need. The Web mining extracts useful

Role of Web Mining in E-Commerce
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Abstract: E-commerce is all about carrying out business on the Web. It is about carrying out transactions, essentially buying and selling products and services by consumers and businesses respectively, on the web. Web is one of the largest sources of information,

User Identification, Classification and Recommendation in Web Usage Mining–An Approach for Personalized Web Mining
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Abstract In recent years, Web Analytics (WA) is turning out to be an emerging research topic due to the extensive advancements in the techniques that aid in accessing the web contents, which millions of people have shared on the web. The information that has connection to

Optimized Distributed Association Mining (ODAM) Algorithm for detecting Web Robots
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In this paper, We are suggesting the association rule mining algorithm named as" Optimized Distributed Association Mining" Algorithm for identifying the web robots which trying to traverse through website's confidential page or content and want to extract that content

A Study of Web Content Mining
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Abstract--For the rapid growth of the web, today WWW plays a vital role in day-to-day life. The website has enormous number of data for government bodies, private organization and people. But the web does not has all data are structured form, it conceives structured, semi

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY REVIEW ON MANAGING AND MINING WEB MULTIMEDIA
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ABSTRACT The huge amount of unstructured data available on the web and the multimedia manages and storage technologies have led to incredible growth in very large and detailed multimedia database. Multimedia mining has proved to be a successful approach for

Association Rules of Web Mining with Background Knowledge of Web Structure
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Abstract: This paper proposed discovering sound, complete and non-redundant association rules from web transaction in the term of formal context. Furthermore, the association rules are also non-redundant regarding to the web structure since there are possibly some

Educational Web Mining System Based on Result Cache Method for Information Retrieval
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Abstract:There were times in the past when it seems harder to find the information on specific topics and now, the same task is just a one click away. In current times, a huge pool of information is available on different topics on World Wide Web (WWW) and the task of

Design and Implementation of Focused Web Crawler Using Genetic Algorithm: An Approach to Web Mining
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Abstract:The speed at which World-Wide-Web (WWW) is growing round the clock spreds its arms from smaler collections of web pages to a massive hub of web information which gradually increases the complexity of crawling process. search engines handles

Website Structure Improvement through Web Mining
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Abstract:facilitating effective user navigation through designing well-structured web site becomes a big challenge. This is because gap between users expectations and web developers understanding of how the website sh6uld be structured. The numbers of

Web Content Mining Tools f Wen Environ
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Wide Web in recent years with millions of pages being added a regular basic. Increasing amount of information are now usi websites for multitude of tasks: Information search, extraction, Knowledge representation etc. However the flip si of the massive numbers of

An Artificial Intelligence Approach for Web Mining Optimization
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Abstract-Due to rapid advances in data generation, availability of automated tools in data collection and continued decline in data storage cost has resulted in high volumes of data. Also, the data is non scalable, highly dimensional, heterogeneous and complex in its

AN APPLICATION OF PREPROCESSING AND CLUSTERING IN WEB LOG MINING
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ABSTRACT Identifying the user behavior is one of the aspect of web usage mining and hence web logs play an major role to identify the user behavior. There are many pattern mining methods to identify user behavior. The accuracy quality of pattern mining

REVIEW PAPER ON WEB MINING AND ITS APPLICATION
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ABSTRACT With the fast growing of the Internet and its Web users all over the world, how to manage and discover useful patterns from tremendous and evolving Web information sources became new challenge to our data engineering researchers. Nowadays, many

Web Optimization Using Web Mining Technique
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Abstract: A Web Optimization maintains and catalogs the content of Web pages in order to make them easier to find. The importance of WPO is only rising, as well as it grows, the need for tools that can assist developers in making the right also decisions grows. Hence that is

Clustering for web log mining using modified k-means Algorithm
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Abstract:World Wide Web is a massive repository of web pages and links. Due to the huge amount of data available online, it has become most valuable resource to extract knowledge. Web usage mining is the area of web mining which concerns with the

Web-Page Recommendation In Information Retrieval Using Domain Knowledge And WebUsage Mining
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Abstract:It has become much more difficult to access relevant information from the Web as it has demonstrated as a wealthy, remarkable and marvelous data source of information. The tremendous growth in volume of web usage data results in the boost of web mining

Evolving Trends and its Application in Web Usage Mining: A Survey
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Abstract: With the abundance of information available on the World Wide Web (WWW), the issue of how to extract useful knowledge from the Web has gained significant attention among researchers in data mining and knowledge discovery areas. Web mining is

Survey On A Hybrid Approach For Web Usage Mining
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Abstract:With the large number of companies using the Internet to distribute and collect information, knowledge discovery on the web or web mining has become an important research area. Basically data mining techniques are used in web mining. Web mining is

A Survey on Frequent Web Page Mining with Improving Data Quality of Log Cleaner
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Abstract:Data cleaning is the process of detecting and correcting the irrelevant, incomplete data from the datasets and log files and then replacing modifying this dirty data. Data cleaning is one of the major techniques used in the Data Preprocessing and Web Usage

WEB MINING BASED FRAMEWORK FOR ONTOLOGY LEARNING
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ABSTRACT Today, the notion of Semantic Web has emerged as a prominent solution to the problem of organizing the immense information provided by World Wide Web, and its focus on supporting a better co-operation between humans and machines is noteworthy.

Survey on Web Usage Mining using Association Rule Mining
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Abstract:Web mining is a data mining technique to extrtact information from web documents. Web usage mining is a type of web minig and widely used in e-commerce applications to understand the behavior of the consumers. It is used to mine the

Preprocessing, Mining CURE Hierarchical Clustering for Web Log Mining
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Abstract Now a day the World Wide Web becomes very popular and interactive for transferring of information. It is massive repository of web pages links. It provides information about vast area for the internet user. The web is huge, diverse and active and

Web Data Mining Framework
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Abstract Web data mining is widely evolved and made a revolution to provide e-business to provide personalized and helped in meeting better requirements of users who rely on data mining using internet. The developers tried to build taxonomy of web knowledge so that it

EFFECTIVE FILTERING OF QUERY RESULTS ON UPDATED USER BEHAVIORAL PROFILES INWEB MINING
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ABSTRACT Web consists of tremendous volume of information. The information in web database is used to retrieve the result for user related queries. With the rapid growth of web- page recommendation and the results retrieved by the users based on data mining

A Proposed Framework Using Neural Network in Web Mining for Improving the Performance of E-Learning System
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Abstract: Web Based learning has evolved as powerful tool for implementing educational requirements. It is a type of learning that is created by combining the electronic data and making it available on the Web. During last decade Web based learning expanded

TOPIC DETECTION AND TRACKING USING WEB MINING
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Abstract:-Web mining-is the application of data mining techniques to discover patterns from the Web. Topic tracking is one of the technologies that has been developed and can be used in the text mining process. The main purpose of topic tracking is to identify and follow

Use of Search Engine Result count for Similarity, Duplicate and Substitution Detection in Web Mining: A Survey
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Abstract: With a huge amount of information available on the Web, it has become a fertile area of mining research. Search engines are developing and adopting different mining algorithms for different communities of research like web content mining, web structure

A Process of Web Usage Mining and Its Tools
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ABSTRACT: Now a days most of people are searching data in internet, to search a user needed data from different search engines, that search data forming a queries format then only big data retrieve from the data base. The big data is the term used to describe the

Exploring Different Aspects of Social Network Analysis Using Web Mining Techniques
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Abstract A social network is a set of people connected by a set of social relations. Thanks to the availability of increasing real-world social network data, social networks are receiving increasing attention by scientific community. The purpose of this paper is to explore

A Review–Clustering and Preprocessing For Web Log Mining
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Abstract-World Wide Web is consist of large amount of information and provides it different kinds users. Everyday number of users use log on internet.. Internet information growing enormously. Users accesses are documented in web logs. As huge storage log files are

Novel Web Usage Mining using Modified Expectation Maximization Clustering
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Abstract:The Web mining field encompasses a wide array of issues, primarily aimed at deriving actionable knowledge from the Web, and includes researchers from information retrieval, database technologies, and artificial intelligence. Most data used for mining is

MINING THE WEB FOR PLAGIARIZED WEB CONTENT USING SIMILARITY MEASURE TECHNIQUE
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Abstract Two important and active areas of current research are data mining and the World Wide Web. A natural combination of the two areas, sometimes referred to as Web mining, has been the focus of several recent research projects and papers. The heterogeneity and

A Survey: Web Recommendation Using Different Approaches of Web Mining Techniques.
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ABSTRACT In today's world, web is expanding in large size. Each and every detail is available on web, but users have to search specific content then it will be difficult. So there is technique called web mining, in which user can mine the specific content as per

Web Content Mining: An Implementation on Social Websites
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Abstract: Web Content Mining is a component of Data Mining. Whenever we talk about data, we conclude that there is a vast range of data on World Wide Web. And to manage this vast range of data, we often need many tools that can retrieve the data as per our criteria.

Presentation Of A Method For Improvement Of Responses Related To Search Engines Benefiting From Web Usage Mining.
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ABSTRACT Upon integration of internet and its various applications and increase of internet pages, access to information in search engines becomes difficult. To solve this problem, web page recommendation systems are used. In this paper, recommender engine are

THE ROLE OF METADATA IN WEB VIDEO MINING: ISSUES AND PERSPECTIVES
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ABSTRACT Due to the complexity in rapid growth of audiovisual information over the web, it is becoming difficult to extract useful information from the web audiovisual data such as YouTube, Face Book, and Yahoo Screen etc. Web video mining is the process of

Educational Web Mining using Weka
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Abstract:In this digital era almost every domain is overloaded with voluminous data. This voluminous data need to be processed to get some interesting patterns. Proposed work deals with education domain. Here educational websites data is collected for analysis

Web Usage Mining for Comparing User Access Behavior using Clustering
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Abstract: Motivated by the practical needs in improving the access to information over the internet with comparison between the users, many authors have given their most time on studying and designing the framework for the application of data mining like web mining,

WEB USAGE MINING BASED ON SERVER LOG FILE USING FUZZY C-MEANS CLUSTERING
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Abstract:Web usage mining is the process of extracting useful usage patterns from the web data. Web personalization uses web usage mining technique for the process of knowledge acquisition done by analyzing the user navigational patterns interest. Nowadays, the Web

A Diffusion Method General Framework on Mining World Wide Web for Recommendations
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Abstract: Graph mining is a special case of structured data mining. By increasing various contents in web, recommendation by user also be increased as well as techniques for those maintenance also be very necessary. Various recommendations on web are movies,

Page Ranking Algorithms for Web Mining: A Review
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ABSTRACT It is becoming very difficult for the web search engines to provide relevant information to the users with the growth of the WWW One of the Data Mining technique called Web mining is defined to extract the hidden information from the web documents

Web Structure Mining-A Study on Different Page Ranking Algorithms and their Future Improvements
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Abstract The rapid advent in internet technology has led the users to get easily confused in large hypertext structure. Fetching the relevant information from this huge web of structured data has become the need nowadays. In order to achieve this goal, we employ the

Implementing Adaboost and Enhanced Adaboost Algorithm in Web Mining
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Abstract: The recent explosive growth of the measure of content on the Internet has made it progressively troublesome for clients to discover and use information and content providers find it difficult to classify and catalog documents. It gets highly tedious for users to browse

Ontology Based Clustering and Enriched Page Ranking for web content mining
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Abstract With the elite growth in the www makes the internet growing very fast. Web leads a great challenge for both the users, who are seeking for effectively valuable information pages and academic research people. The user spent lot of time in searching to get the

Exploring Web Mining for Auditing Social Networking: A Clustering Approach
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Abstract: In the quest for excellence, the institutes of higher learning are revitalizing their institutional websites so as to persuade the stakeholders. With the growth of social networking, the aforesaid task however is not as easy as said and done. Auditing the web

Mobile Browser with Web Suggestions Based on Location of Indoor Areas Using Wi-Fi Signals, Type-2 Fuzzy Inference Systems and Data Mining
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Abstract. Wireless Local Area Networks provide a potential infrastructure that enables to estimate the indoor location for users wearing wireless devices such as smartphones. This infrastructure goes beyond GPS (Global Position System) where signal is weak or is not

Research on WEB user behavior mining of personalized recommendation
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Abstract Personalized recommendation directly decides the result set pushed to users and affects the quality of personalized information service. And analysis of user behavior is the key to realize personalized recommendation. The paper studies the user behavior mining

SEMI GLOBAL MATCHING ON MINING WEAKLY LABELED WEB FACIAL IMAGES FOR FACE
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Abstract:This paper increase the accuracy of matching the weakly labelled wed facial images. The weakly labeled facial images are freely available on the Internet. Semi Global matching and mutual information will improve the retrieval accuracy of image retrieval

An Efficient Concept Based Mining Model for Web Page Clustering
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Abstract:Effective representation of web search results remains an open problem in the information retrieval. These problems can be resolved by concept based mining model using modified Agglomerative Hierarchical Clustering Algorithm. The proposed mining

Research on Neural Network Based MultiAgent Semantic Web Content Mining
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ABSTRACT As with the rapid increase of the huge amount of online information, there is a strong demand for Information retrieving from the web which helps to discover some useful knowledge from Web documents. Agents are often developed not in isolation but as part

Smart Web Miner-Extending Web Browser with Mining framework based on User Behavior Web-of-Thing Patterns for web personalization
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Abstract:As web is proliferating so is the user behavior and the browsing pattern changing rapidly making it difficult challenging task to make prediction's based on the occurrence patterns from the analysis of the device web logs, in a way ensuring that the patterns are

Text mining: An analysis of research published under the subject category 'Information Science Library Science'in Web of Science Database during 1999-2013
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Abstract Purpose The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the Information Science Library Science subcategory. More specifically, it analyses the chronological growth of TM literature, and

AN ONLINE RECOMMENDATION SYSTEM OF HIGHLY VISITED SITES BASED ON WEB USAGEMINING USING TWO LEVEL CLUSTERING
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ABSTRACT: In Current era, internet is playing such a vital role in our everyday life that it is very difficult to survive without it. Fast growth of World Wide Web increases the complexity for users to browse effectively. For increasing the performance of web sites, web site design

ANALYSIS OF USER IDENTIFICATION METHODS IN WEB USAGE MINING
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ABSTRACT: Web usage mining is an important application of data mining where huge log repositories are preprocessed and analyzed to discover user's navigation patterns which can be further used in variety of applications like web site design, personalization of

Data Mining from a Web Browser
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Abstract:An implementation of a web application capable of storing and retrieving data and conducting data mining expeditions is presented. The ToolSHED (SHell for Expeditions using Data mining) supports at least two different architectures: as a centralized data and

Web and Text Mining Sentiment Analysis
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Abstract:This paper describes the key steps followed in Text Mining, including sentiment analysis. To demonstrate the complete process Input text data was obtained from Twitter for one of the leading political organization and the tweets were scored for sentiment

Soft Computing and Data Mining: Two layer approach towards creation of Intelligent Web
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Abstract:Usage of web is emerging day by day. There is hardly any area left untouched by web eg educational, commercial, entertainment, or medical fields are relying on web usage that results in heavy traffic over the Internet. This mushrooming of web usage explores

Web Document Clustering using Hybrid Approach in Data Mining
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Abstract-There is a huge amount of data present on internet. Everyday millions of web pages are added over the web. Hence the procedure to find intended information on the web is becoming very hectic. Use of search engines returns long list of urls and documents.

Evaluation of Models for Predicting User's Next Request in Web Usage Mining
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Abstract Prediction of web user behavior is the demand of today competitive edge of World Wide Web. Predicting the next web page is not sufficient, evaluation of prediction models is important because every model have its own pros and cons. Prediction results will be

Vis Miner Service A REST Web Service for Source Mining
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Abstract. Enabling applications to perform source-mining and software metrics visualization can be a time-consuming task. With this in mind, we are positive that Web Services are fitting candidates to automate the developing of such applications. Therefore, this paper

Cache Pre-fetching system based on data mining on Web
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Abstract From 20th century 90's to now on, Internet and data mining techniques had developed rapidly and became mature, kinds of application on Web data mining had been proposed to the market. In this paper, we would first introduce the development of cache

181 A New Approach to Web Data Mining Based on Cloud Computing
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Page 1. KIISE The Korean Institute of Information Scientists and Engineers 181 A New Approach to Web Data Mining Based on Cloud Computing Wenzheng Zhu and Changhoon Lee 187 A New Approach for Image Encryption

A Web Log Frequent Sequential Pattern Mining Algorithm Linked WAP-Tree
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Abstract: Web log frequent sequence pattern mining is an important field of Web log mining and of discovering interactive frequent sequence pattern between users and websites. It is easy to analyse users' access sequence patterns by utilizing these sequence patterns and

Efficient Web Content Mining using DOM Intersection Method: A Website Template Detection Approach
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Abstract-The web data extraction in an unsupervised way from millions of websites available on World Wide Web is a challenging and difficult job. Many methodologies and work have been done earlier in this area, but these presents a serious limitation for enormously

An Intelligent Teaching System Model Based on Web Log Data Mining
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Abstract Based on a fully analysis of the basic principles, characteristics and related models of intelligent teaching system, this paper applies data mining technology to the system, puts forward a research idea of intelligent teaching system based on web and data mining and

A Semantic Web-based System for Mining Genetic Mutations in Cancer Clinical Trials
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Abstract Textual eligibility criteria in clinical trial protocols contain important information about potential clinically relevant pharmacogenomic events. Manual curation for harvesting this evidence is intractable as it is error prone and time consuming. In this paper, we

A Review on Semi-Supervised SVM Technique for Mining and Refining Weak Labels of WebFacial Images
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Abstract Today's world is the world of smart phones, internet, multimedia which has made the art of capturing images or image data very immense as well as easy. This has flooded the web with the ample of images all over the problem of annotating the images and

Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated WebDiscourse
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Abstract Analyzing arguments in user-generated Web discourse has recently gained attention in argumentation mining, an evolving field of NLP. Current approaches, which employ fully-supervised machine learning, are usually domain dependent and suffer from

Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags
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Abstract Commonsense knowledge about part-whole relations (eg, screen partOf notebook) is important for interpreting user input in web search and question answering, or for object detection in images. Prior work on knowledge base construction has compiled part-whole

An Interaction Mining Approach for Classifying User Intent on the Web
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Abstract Predicting the goals of internet users can be extremely useful in e-commerce, online entertainment, and many other internet-based applications. One of the crucial steps to achieve this is to classify internet queries based on available features, such as contextual

Weighted Rule Mining for Web Logs based on Systolic Tree to extract frequent patterns using FPGA
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Abstract-Web content mining and structure mining methods are used to analyze the web page contents. The web logs information maintain by the user access. The web logs are maintained under the web server environment. User access patterns are extracted from

A Brief Survey of Various Ranking Algorithms for Web Page Retrieval in Web StructureMining
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International Journal of Engineering Trends and Technology (IJETT) A Brief Survey of Various Ranking Algorithms for Web Page Retrieval in Web Structure Mining 1M.Tech Student, Department of CSE, BSAnangpuria Institute of

A Survey on Mining of Weakly Labeled Web Facial Images and Annotation
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Abstract: Now-a-days, lots of images are generated and uploaded on the internet due to the popularity of digital cameras and social media tools. Some of these facial images are tagged correctly, but most of them are not tagged correctly, so facial annotation came into the

IMPROVE USER NAVIGATION ON A WEBSITE BY USING WEB STRUCTURE MINING
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Abstract Website designing is easy but to effective user navigation is difficult task since user behaviour repeatatively change. Webmaster develop website with their own judgment that are different from user expectation. So, users suffer from different problem of searching in

Automatic Extraction of Reliable Web Page Lists in Data Mining
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Abstract: In today's busy schedule finding proper information within less time is important need. When user fires top-K list or any other query, user get multiple links as output. User has to visit sites and have to search the proper result manually. But one more problem is

GPU-ACCELERATED PERSONALIZATION IN WEB USAGE MINING WITH NEURAL NETWORK ALGORITHM
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Abstract:This paper adopt the general purpose GPU parallel computing model and show how it can be leveraged to increase the accuracy and efficiency of personalized recommendation system to the web users. To illustrate the competence of the GP-GPU (

Supporting privacy protection in personalized web search for knowledge mining
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Abstract: With increasing number of websites the Web users are increased with the massive amount of data available in the internet which is provided by the Web Search Engine (WSE). The aim of the WSE is to provide the relevant search result to the user with the behavior of


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