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apriori-based-algorithm



Novel Query Expansion Technique using Apriori Algorithm.
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Abstract. One problem in query reformulation process is to find an optimal set of terms to add to the old query. In our TREC experiments this year, we propose to use the association rule discovery (especially apriori algorithm) to find good candidate terms to enhance the query.

Min-apriori: An algorithm for finding association rules in data with continuous attributes
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* This work was supported by NSF ASC-9634719, by Army Research Office contract DA/DAAH04-95-1-0538, by Army High Performance Computing Research Center cooperative agreement number DAAH04-95-2-0003/contract number DAAH04-95-C-0008

Research of an improved apriori algorithm in data mining association rules
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Abstract:Apriori algorithm is the classic algorithm of association rules, which enumerate all of the frequent item sets. When this algorithm encountered dense data due to the large number of long patterns emerge, this algorithm's performance declined dramatically. In

Efficient Web Log Mining Using Enhanced Apriori Algorithm with Hash Tree and Fuzzy
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Abstract Web usage mining is the type of Web mining activity that involves the automatic discovery of user access patterns from one or more Web servers. In this paper we analyze the pattern using different algorithms like Apriori, Hash tree and Fuzzy and then we used

Temporal association rule mining based on T-Apriori algorithm and its typical application
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ABSTRACT: A new algorithm T-Apriori based on time constraint is designed and implemented on the basis of analyzing the related definitions and general steps of temporal association rule mining. The concepts of ecological event and sequence of ecological

Efficient parallel data mining with the Apriori algorithm on FPGAs
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Abstract The Apriori algorithm is a popular and foundational member of the correlationbased datamining kernels used today. However, it is a computationally expensive algorithm and running times can stretch to days for large databases, as database sizes can reach from

Comparative Study of Various Improved Versions of Apriori Algorithm
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Abstract:In Data Mining Research, Frequent Item set Mining has been considered an important task. These item sets leads to the generation of Association rules. These rules tell about the presence of one item with respect to the presence of another item in large

An efficient implementation of Apriori algorithm based on Hadoop-Mapreduce model
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ABSTRACT Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, it needs to scan the dataset many times and to generate

Optimization of Association Rule Mining Apriori Algorithm Using ACO
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Abstract:Association rule mining is an important topic in data mining field. In a given large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. Apriori algorithm that generates all significant association rules

Apriori algorithm and game-of-life for predictive analysis in materials science
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Abstract. Experimental data in many domains serves as a basis for predicting useful trends. If the data and analysis are available over the Web this promotes E-Business by connecting clientele worldwide. This paper describes such a predictive tool QuenchMiner TM in the

Finding the chances and prediction of cancer through Apriori algorithm with transaction reduction
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Abstract Frequent pattern mining is an important task of data mining. It is essential for mining association, relevant and interesting links. In addition, it is widely used in data classification, clustering and other data mining tasks. Many effective, scalable algorithms have been

Educational Data Mining using Improved Apriori Algorithm
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Abstract Educational Data Mining (EDM) is an emerging interdisciplinary research area that deals with the development of methods to explore data originating in an educational context. EDM uses different computational approaches to analyze educational data in order to

Association Rule Generation for Student Performance Analysis using Apriori Algorithm
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Abstract:The objective of the educational institution that is producing good results in their academic exams can be achieved by using the data mining techniques which can be applied to predict the performance of the students and to impart the quality of education in

A modified Apriori algorithm to generate rules for inference system with probabilistic-fuzzy knowledge base
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Abstract: In the article the possibility of applying one of the methods of data mining–fuzzy association rules to model fuzzy systems is presented. The algorithm of automatic extracting knowledge base is a modification of the Apriori algorithm. The obtained rules of the model

Aggregate function based enhanced apriori algorithm for mining association rules
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Abstract Association rule analysis is the task of discovering association rules that occur frequently in a given transaction data set. Its task is to find certain relationships among a set of data (itemset) in the database. It has two measurements: Support and confidence

Association Rule Mining using Apriori Algorithm: A Survey
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Abstract:Association rule mining is the most important technique in the field of data mining. Association rule mining finding frequent patterns, associations, correlations, or causal structures among sets of items or objects in transaction databases, relational databases,

Sequential Pattern Mining Using Apriori Algorithm Frequent Pattern Tree Algorithm
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Abstract: The concept of Sequential Pattern Mining was first introduced by Rakesh Agrawal and Ramakrishnan Srikant in the year 1995. Sequential Patterns are used to discover sequential sub-sequences among large amount of sequential data. In web usage mining,

Extract Knowledge and Association Rule from Free Log Data using an Apriori Algorithm
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International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 2277-7970) Extract Knowledge and Association Rule from Free Log Data using an

Generating classification association rules with modified Apriori algorithm
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Abstract:-Association rule mining is a useful and widely used method to extract patterns from large sets of data especially if we deal with basket type data such as customer buying attitudes. It finds all possible relations between data fields, and this property is functional

Sms classification based on naive bayes classifier and apriori algorithm frequent itemset
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Abstract:In this paper, we propose a hybrid system of SMS classification to detect spam or ham, using Naïve Bayes classifier and Apriori algorithm. Though this technique is fully logic based, its performance will rely on statistical character of the database. Naïve Bayes is

Apriori algorithm implementation
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Implementation of parallel apriori algorithm on hadoop cluster
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Abstract:Nowadays due to rapid growth of data in organizations, large scale data processing is a focal point of information technology. To deal with this advancement in data collection and storage technologies, designing and implementing large-scale parallel

APRIORI Algorithm
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Page 1. APRIORIAlgorithm Professor Anita Wasilewska Lecture Notes Page 2. The AprioriAlgorithm: Basics The AprioriAlgorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Key Concepts :

Apriori-Map/Reduce Algorithm
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Abstract Map/Reduce algorithm has received highlights as cloud computing services with Hadoop frameworks were provided. Thus, there have been many approaches to convert many sequential algorithms to the corresponding Map/Reduce algorithms. The paper

A novel and efficient KNN using modified apriori algorithm
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Abstract-In the field of data mining, classification and association set rules are two of very important techniques to find out new patterns. K-nearest neighbor and apriori algorithm are most usable methods of classification and association set rules respectively. However, individually

The Application Of Apriori Algorithm For Network Forensics Analysis
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ABSTRACT With frequently network attack crimes, it causes serious economic loss and bad social influence. Network security products are practically impossible to guard against intrusion methods, network forensics is needed. The massive network data must be

An improved apriori algorithm for association rules
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Abstract There are several mining algorithms of association rules. One of the most popular algorithms is Apriori that is used to extract frequent itemsets from large database and getting the association rule for discovering the knowledge. Based on this algorithm, this paper

An enhanced Semi-Apriori algorithm for mining association rules
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ABSTRACT Mining association rules in large database is one of data mining and knowledge discovery research issue, although many algorithms have been designed to efficiently discover the frequent pattern and association rules, Apriori and its variations are still suffer

Comparative Analysis of Apriori and Improved Apriori Algorithm
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Abstract: Mining data from a large database is one of the key research area. The Improved apriori algorithm helps in mining frequent items from the large database, by applying association rules between data in order to discover Knowledge from the large database.

Finding Locally Frequent Diseases Using Modified Apriori Algorithm
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Abstract: Data mining is a phenomenon which analyzes large volumes of data and extracts patterns that can be converted to useful knowledge. The data mining techniques can be applied on medical data which has abundant scope to improve Quality of Service in

The Effect of Clustering in the Apriori Data Mining Algorithm: A case study
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Abstract:Many organizations collect and store data about their customers, suppliers and business partners. However, much of the useful marketing insights are hidden in that enormous amount of data. Data mining is the process of searching and analyzing data in

A New Improved Apriori Algorithm For Association Rules Mining
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In today's world of competitive business environment and popularization of computer and development of database, more and more data are stored in the large database. There is a great need to extract hidden and potentially meaningful information from large database. It

Usage of Apriori Algorithm of Data Mining as an Application to Grievous Crimes against Women
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Abstract-Quantitative data must be converted into qualitative data, for this association algorithm only can apply to it. As association rule deals with frequent item sets as done by many association algorithms such as: Apriori algorithm, that's why in most real life

Optimization of Association Rule Mining Process using Apriori and Ant Colony OptimizationAlgorithm
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Abstract Association Rule Mining is the essential part of data mining process. Apriori Algorithm is the popular algorithm of association rule mining. Apriori Algorithm that generates all significant association rules between items in the database. On the basis of

Extended Distributed Rk-Secure Sum Protocol in Apriori Algorithm for privacy preserving
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Abstract-Secure sum computation is a simple example of Secure Multi party Computation. This provide privacy to data in case more than two parties are present, while finding combined results of individual data. Association rule mining algorithms like Apriori are

PARALLELIZED COMPRISING FOR APRIORI ALGORITHM USING MAPREDUCE FRAMEWORK
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Abstract: An integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional techniques. The recently introduces MapReduce based association rule mining for extracting strong rules from large datasets. This mining

Efficient Association Rule Mining Using Improved Apriori Algorithm
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Abstract:Association rule mining is a data mining technique to extract interesting relationships from large datasets [1, 2]. The efficiency of association rule mining algorithms has been a challenging research area in the domain of data mining [3]. Frequent pattern

Predicting students' final passing results using the Apriori Algorithm
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ABSTRACT: The studies discussed form part of a programme, other aspects of which have been previously considered [1][2]. The ultimate objective is to facilitate a lecturer in helping students to predict their final passing results based on their performance in several

Integration new Apriori algorithm MDNC and Six Sigma to Improve Array yield in the TFT-LCD Industry
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Abstract: To increase process yield is the most effective way to raise income of TFT-LCD industry. This research is divided into two phases. In the first phase, We have modified Apriori algorithm called Multi-Dimension Non-Continuous (MDNC), an algorithm by

Implementation of Apriori Algorithm in Health Care Sector: A Survey
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ABSTRACT-This research presents a review of the implementation of Apriori Algorithm on different healthcare datasets using machine learning tool Weka. Association rule mining greatly helps to identify trends and patterns from huge databases. This research paper

Research of improved Apriori algorithm based on itemset array
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Abstract: Mining frequent item sets is a major key process in data mining research. Apriori and many improved algorithms are lowly efficient because they need scan database many times and storage transaction ID in memory, so time and space overhead is very high.

Implementing and compiling clustering using Mac Queens alias K-means apriori algorithm
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Abstract This paper aims at implementing a Symmetric Multi-Threading. The paper provides a true concurrency, also known as Symmetric Multi-Threading (IACKMA), which occur when multiple threads execute instructions during the same clock cycle. It gives high-

Mining Rare Association Rules on Banpheo Hospital (Public Organization) via Apriori MSG-PAlgorithm
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ABSTRACT Mining association rule is one of the important techniques in data mining to exploit hidden knowledge in large database. Many businesses in several areas need this technique for examine their enormous information, and public health is the one area that

Review paper on finding Association rule using Apriori Algorithm in Data mining for finding frequent pattern
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Abstract:Because of the rapid growth in worldwide information, efficiency of association rules mining (ARM) has been concerned for several years. Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules

Mining Frequent Itemset by Reduced Transaction Strategic Algorithm and its Comparative Analysis with Classical Apriori Algorithm
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ABSTRACT: Association rule mining is used to find all subsets of items which frequently occur and the relationship between them. Apriori algorithm is used to find out the frequent itemset. But this algorithm is not efficient as it scans the database number of times and

A Survey on Optimization of APRIORI Algorithm for high Performance
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Abstract:-There are several mining algorithms of association rules. One of the most popular algorithms is Apriori that is used to extract frequent itemsets from large database. Based on this algorithm, this paper indicates the limitation of the original Apriori algorithm of wasting

Finding Microarray Temporal Association Rules from Time Series Using Apriori Algorithm
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Abstract--DNA micro array technology has added a new dimension to the field of Molecular Biological technologies. The applications and development of DNA micro array technology has been growing exponentially in the past few years, since 1994. It is the most powerful

ASSOCIATION ANALYSIS USING APRIORI ALGORITHM FOR IMPROVING PERFORMANCE OF NAIVE BAYES CLASIFIER
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ABSTRACT Bayes classifier has the assumption that the relationship between one attribute with another is independent for the class Y. It is called because the assumption is quite difficult to achieve in real life. The existence of independent

REVIEW ON MATRIX BASED EFFICIENT APRIORI ALGORITHM
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Abstract-These Apriori Algorithm is one of the well-known and most widely used algorithm in the field of data mining. Apriori algorithm is association rule mining algorithm which is used to find frequent itemsets from the transactions in the database. The association rules are

Priority Model of Apriori Algorithm
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Abstract: The need for storing high volume of data in database and processing those information has led to the increased demand for efficient data mining techniques. Association rule mining is one of the important steps in data mining. Apriori algorithm is

An Efficient Technique for mining Association rules using Enhanced Apriori Algorithm
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Abstract:There are Various mining algorithms of association rules. One of the most popular algorithm is Apriori that extracts frequent itemset from large database and getting the association rule for discovering the knowledge. this paper pitfalls the limitation of the

Efficient Fault Tolerant Apriori Algorithm for Discovering Association Rules among Local Protein Structures.
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Abstract Local protein structures are a kind of pattern found in protein datasets. These patterns are shaped by forces of evolution. One can deduce useful details about unknown protein structures through a knowledge of local protein structures. This paper focuses on

APRIORI ALGORITHM AND FILTERED ASSOCIATOR IN ASSOCIATION RULE MINING
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Abstract: Most algorithms used to identify large itemsets can be classified as either sequential or parallel. In most cases, it is assumed that the itemsets are identified and stored in lexicographic order (based on item name). This ordering provides a logical manner in

COMPARISON OF K-MEAN ALGORITHM APRIORI ALGORITHM AN ANALYSIS
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ABSTRACT Data mining is a relatively new term, the technology is not. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years. However, continuous innovations in computer

A Technology Forecasting Method using Text Mining and Visual Apriori Algorithm
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Abstract: Technology forecasting (TF) is the prediction of the future aspect of a technology. TF is therefore an important tool for planning an RD policy efficiently, and thus most firms and governments consider it to be essential to their technological competitiveness. Since

A hybrid algorithm combining weighted and hashT apriori algorithms in Map Reduce model using Eucalyptus cloud platform
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Data mining performs a major role in data analysis which benefits enhancement of business. In modern era, distributed data mining becomes a major research area due to distributed computing. In distributed data mining data can be physically or virtually

Frequent Pattern and Association Rule Mining from Inventory Database Using Apriori Algorithm
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ABSTRACT Recently, data mining has attracted a great deal of attention in the information industry and in a Society where data continue to grow on a daily basis. The availability of huge amounts of data and the imminent need for turning such data into useful information

An Efficient Modified Apriori Algorithm for Mining Association Rules for Large Itemsets in Large Centralized Databases
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ABSTRACT The proposed algorithm is derived from the conventional Apriori approach with features added to improve data mining performance. These features are embedded in the encoding and decoding mechanisms. It has been confirmed by the experiment results that

Analysing the Performance of Apriori Algorithm for by Combining with Clustering Techniques
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Data mining is the combination of data assembled by customary information mining philosophies and procedures with data accumulated over large no of data sources. Mining means extricating something helpful or important from a baser substance. Data

Frequent Pattern Analysis of Moving Objects Using Apriori Algorithm
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Abstract: Data mining is one of the fastest area of research. But the conventional studies on data mining do not consider both aspects spatial and temporal simultaneously. In this paper, the author discuss a new algorithm and technique to find the temporal patterns found in

Extract Protocol Characteristics by Apriori Algorithm
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Abstract: This paper presents a set of programme to extract the applicationlayer protocol features based on frequent itemsets mining. It can be extended to other areas such as intrusion detection and extracting worm signature. Keywords: Protocol identification;

Healthy Diet Recommendation System using Apriori Algorithm Decision Rules for Breast Cancer Data
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Abstract:Medical science has discovered that people set a bigger possibility of countering free radicals and warding off illness by consumption of healthy foods and by increasing their resistant system. We adopt Apriori Algorithm to explore the relationship between treatment

Analysis of Effectiveness of Apriori and Frequent Pattern Tree Algorithm in Software Engineering Data Mining
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Abstract:Development of software is a very crucial and complex process. IT professionals have been facing difficulties and risks for the development of software projects. This research focuses on the effectiveness of two data mining algorithms that are Apriori

Mining Frequent Itemsets Using Apriori Algorithm
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Abstract-Mining required data from voluminous Data has been recognized as one of the most challenging problems in data mining approach. In many real world scenarios, the data is not extracted from single data source but from distributed and heterogeneous data

MODIFIED VERSIONS OF APRIORI ALGORITHM: A SURVEY
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Abstract: The need for storing high volume of data in database and processing that information has led to the increased demand for efficient data mining techniques. Association rule mining is one of the important steps in data mining. Apriori algorithm is

ABoolean MODELING FOR IMPROVING THE ALGORITHM APRIORI
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ABSTRACT Mining association rules is one of the most important data mining tasks. Its purpose is to generate intelligible relations between attributes in a database. However, its use in practice is difficult and still raises several challenges, in particular, the number of

SURVEY ON DATA MINING APRIORI ALGORITHM
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Abstract-Data Mining is known as Knowledge Discovery in Databases. Basically it refers to the extraction of previously unknown and useful information from data in large databases. Association rule mining is a widely used approach in data mining. It helps in revealing

A Comparative Analysis of Improved Version of Apriori Algorithm of Data Mining
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Abstract Apriori algorithm in data mining is one of the most frequently used algorithm for finding the frequent itemset in database. Efficiency has been concerned for several years in data mining for finding frequent itemsets. Various improved version of Apriori algorithm

Association Rule Mining using Apriori Algorithm for Distributed System: a Survey
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Abstract: Data mining technologies provided through Cloud computing is an absolutely necessary characteristic for today's businesses to make proactive, knowledge driven decisions, as it helps them have future trends and behaviors predicted. By implementation

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU
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Abstract Apriori-Based algorithms are widely used for association rule mining. However, these algorithms cannot exploit the parallel processing power of modern GPU (Graphics Processing Unit). To make an algorithm to be compatible with GPU, it needs to be

Data Mining Approach Using Apriori Algorithm: The Review
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Abstract: Mining frequent itemsets is one of the most investigated fields in data mining. It is a fundamental and crucial task. In data mining approach, the quantitative attributes should be appropriately dealt with as well as the Boolean attributes. Apriori Algorithm is one the best

STEP-BY-STEP MODEL FOR THE STUDY OF THE APRIORI ALGORITHM FOR PREDICTIVE ANALYSIS.
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Abstract The goal of this paper was to develop an educational oriented application based on the Data Mining Apriori Algorithm which facilitates both the research and the study of data mining by graduate students. The application could be used to discover interesting

Efficient Mining of Association Rules Using Linked List and Tries Based Apriori Algorithm
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ABSTRACT In this paper, we focused on APRIORI algorithm, a popular data mining technique and compared the performances of a linked list based APRIORI implementation as a basis and a tries-based implementation on it for mining frequent item sequences in a

Implementing Apriori Algorithm in Parallel
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Abstract-A Huge amount of data gets collected from society with different sources. Hardly has it led to a useful knowledge. For finding useful knowledge an algorithm is required. Apriori is an algorithm for mining data from databases which shows items that are related

Deeper Understanding of Norovirus and Astrovirus by Analyzing Genome and Coding Sequences Using Apriori Algorithm
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Abstract:Norovirus infection is an epidemic stomach disorder caused by norovirus. Humans can be infected by norovirus regardless of age, gender and location. Infection is now occurring sporadically throughout the world. Norovirus maintains its infectiousness

Parallel Implementation of Apriori Algorithm
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ABSTRACT: Association rule mining concept is used to show relation between items in a set of items. Apriori algorithm for mining frequent itemsets from large amount of database is used. Parallelism is used to reduce time and increase performance, Multi-core processor

Efficient use of Apriori Algorithm for Accessing Supermarket Database
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In this paper we address the implementation of Apriori algorithm for accessing Supermarket database. The algorithms gives us information about most frequently used products and then can be used to derive useful results. Apriori is designed to operate on databases

IMPROVING THE EFFICIENCY OF APRIORI ALGORITHM IN DATA MINING
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ABSTRACT Apriori algorithm is the classic algorithm of association rules, which finds the entire frequent item, sets. When this algorithm is applied to dense data the algorithm performance declines due to the large number of long patterns emerge. In order to find

Improvement in Apriori Algorithm with New Parameters
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Abstract: Data Mining or Knowledge Discovery in Databsaes is an advanced approach which refers to the extraction of previously unknown and useful information from large databases. Association Rule Mining is an important technique of data mining. This

Apriori Algorithm Using Data Mining
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Abstract-In computer science, Apriori is a classic algorithm for learning association rule mining. Data mining have a wide range of applications in which Apriori uses a" bottom up" approach, for which frequent subsets are extended one item at a time (a step known as

Comparative Survey on Improved Versions of Apriori Algorithm
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Abstract:In field of data mining, mining the frequent itemsets from huge amount of data stored in database is an important task. Frequent itemsets leads to formation of association rules. Various methods have been proposed and implemented to improve the efficiency of

Using the Apriori Algorithm for Medical Image Classification
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The number of images (multimedia data) that are being collected every day is growing especially in radiology and this brings us to the problem of extracting meaningful information from such

Improving the Efficiency of Web Usage Mining Using K-Apriori and FP-Growth Algorithm
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Abstract-Web mining is used to discover the information from the World Wide Web and their usage patterns. Web usage mining is the one of the type of web mining which allows for the collection of Web access information for Web pages. The binary data is transformed into

Performance Analysis of K++ and Apriori Algorithm in Terms of their Effectiveness Against Various Diseases
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Abstract Heart disease is a general term that means that the heart is not working normally. Babies can be born with heart disease. This is called congenital heart disease. If people get heart disease later, it is called acquired heart disease. Most heart disease is acquired.

Web Page Classification Using Apriori Algorithm and Naïve Bayes Classifier
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Abstract: Classification is the process of dividing the data into number of groups which are either dependent or independent of each other and each group acts as a class. The task of classification can be done by using several methods by different types of classifiers. The

REVERSE APRIORI APPROACH–AN EFFECTIVE ASSOCIATION RULE MINING ALGORITHM
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ABSTRACT Association rule learning or mining refers to the prominent and one of the excellent researched paradigms for the discovery of interesting and desired relations between variables from large databases. It is desired to identify strong and efficient rules

Predicting Patterns over Protein Sequences Using Apriori Algorithm
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Abstract: Data mining is the domain that helps to extract the useful data from large store house of data. It has a large scope in the field of biological science as it can solve the critical problems related to the sequence pattern mining by working on large data sets. It helps in

Comparison of HIV-1, SIV-1, and SHIV in Protein Translation Using Apriori Algorithm
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Abstract:Retroviruses are viruses which have special ability to retro transcript their genetic data. HIV (Human Immunodeficiency Virus) which has been the cause for AIDS (Acquired Immunodeficiency Syndrome) in human is a kind of retroviruses. SIV (Simian

An Optimized Apriori Algorithm Based on Sparse Matrix for Intrusion Detection
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Abstract: The original Apriori algorithm is widely used in the intrusion detection field, but it may consume incredible computing resources in the process of handling network packets. We propose our optimized-Apriori algorithm which can greatly improves the algorithm

Serial/Parallel Implementation of Apriori Algorithm
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Abstract Association rules are the main technique for data Mining Apriori algorithm is a conventional algorithm of association rule mining. There are many algorithms for mining association rules and their variations are proposed on basis of Apriori algorithm, but those

IMPROVING PERFORMANCE OF APRIORI ALGORITHM USING HADOOP
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Abstract Spatial data is a data having a geological information. This paper explores the use of Hadoop framework to improve the performance of Apriori algorithm for spatial data mining. FP growth algorithm is better than Apriori but it fails in certain situations. By

PARALLEL MULTITHREADED APRIORI ALGORITHM FOR VERTICAL ASSOCIATION RULE MINING
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Abstract: Association rule mining is one of the important concepts in data mining domain for analyzing customer's data. The association rule mining is a process of finding correlation among the items involved in different transactions. Traditionally association rule mining is

An Efficient Technique for mining Association rules using Enhanced Apriori Algorithm A Literature survey
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Abstract:At present Data mining has a lot of e-Commerce applications. The key problem in this is how to find useful hidden patterns for better business applications in the retail sector. For the solution of those problems, The Apriori algorithm is the most popular data mining

Combining Some of The Improvements of Apriori Algorithm
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ABSTRACT Data Mining (DM) is an important issue in the field of data and knowledge based systems, which have been prompted by an interesting new field called Knowledge Discovery in Databases (KDD). Discovered knowledge can come in many forms such as:

Predicting Missing Items in a Shopping Cart using Apriori Algorithm
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Abstract:In today's ever growing market it is very essential to keep track of the customer's interests and keep them updated about the trends and products in the market. In this project we aim to create a shopping portal and have a database that records the item sets that are

Implementing APRIORI Algorithm on Web serve log
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Abstract: Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Usage data captures the identity or origin of Web users along

FREQUENT PATTERNS FOR MINING ASSOCIATION RULE IN IMPROVED APRIORI ALGORITHM
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ABSTRACT: An important aspect of data mining is to discover association rules among large number of item sets. Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a relational database or other information repository.

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY Apriori Algorithm for Vertical Association Rule Mining
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In our system it is proposed to combine both horizontal mining and vertical mining in generating association rules. The horizontal and vertical mining are implemented in parallel using multithreading concept. For this we propose a modified parallel multithreaded

APRIORI-HYBRID ALGORITHM AS A TOOL FOR COLON CANCER MICROARRAY DATA CLASSIFICATION
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The advent of microarray technology has enabled the researchers to rapidly measure the levels of thousands of genes expressed in a biological tissue sample in a single experiment. One important application of this microarray technology is to classify the tissue samples


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