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big data mining



Big data mining
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Abstract: Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made perturbations frequently result in imprecise or vague data. Two common practices are to

Big data for education: Data mining, data analytics, and web dashboards
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In the future, her younger brother Richard is likely to learn reading through a computerized software program. As he goes through each story, the computer will collect data on how long it takes him to master the material. After each assignment, a quiz will pop up on his screen

Teaching data mining in the era of big data
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Abstract The amount of data being generated and stored is growing exponentially, owed in part to the continuing advances in computer technology. These data present tremendous opportunities in data mining, a burgeoning field in computer science that focuses on the The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media,

Big data and distributed data mining: an example of future networks
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Abstract This paper describes the perspective on the analytics of big data generated by sensors and devices on the edge of networks. The paper includes a discussion of the importance of data at the edge of networks where some ofbiggest big data is

Towards Big Data Mining and Discovery
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We live in an era of big data that has embedded a huge potential and increased information complexity and risks such as insecurity as well as information overload and irrelevance. Also business intelligence and analytics are important in dealing with the magnitude and

Big Data Mining by L2 SVMs-Geometrical Insights Help
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Abstract: The seminar will introduce a novel learning algorithm for the class of L2 Support Vector Machines classifier dubbed Direct L2 SVM (DL2 SVM). The proposed comprehensive DL2 SVM algorithm avoids solving the QP problem and yet, it produces both the exact and

Technology for mining the big data of MOOCs
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Abstract Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high

Big Data Mining in the Cloud.
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Big Data Analytic and Mining with Machine Learning Algorithm
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Abstract Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering

Big data: the new challenges in data mining
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Abstract:Big Data is a new term used to identify the datasets but due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. With the fast development of networking, data storage, and the data collection

Extracting Large Data using Big Data Mining
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Abstract:Innovations in technology and greater affordability of digital devices have presided over today's Age of Big Data, in the quantity and diversity of high frequency digital data. These data hold the potential to allow decision makers to track development

Smart Cities, Urban Sensing and Big Data: Mining Geo-location in Social Networks
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Location based social networks offer spatio-temporal information which can be accessed through public Application Programming Interfaces (APIs) and drew the interest of researchers with diverse scientific backgrounds. This availability of data enables a

Reality Mining,(Big Data) and Urban Sensing
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Page 1. Reality Mining, (Big Data) and Urban Sensing Darshan Santani ETH Zurich 15 April 2010 Page 2. Trivia 2 15 April 2010 Page 3. Trivia Taxi Observations* by Location and Booking Frequency of Zone in Singapore1 * Sampled dataset (~10,000 observations) 3

Mining of Web Server Logs in a Distributed Cluster Using Big Data Technologies
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Abstract:Big Data is an emerging growing dataset beyond the ability of a traditional database tool. Hadoop rides the big data where the massive quantity of information is processed using cluster of commodity hardware. Web server logs are semistructured files

Big Chord Data Extraction and Mining
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Abstract: Harmonic progression is one of the cornerstones of tonal music composition and is thereby essential to many musical styles and traditions. Previous studies have shown that musical genres and composers could be discriminated based on chord progressions

Big Data and Big Data Mining: Study of Approaches, Issues and Future scope
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Abstract:Big Data is a latest term introduced to define large and complex datasets. Due to their size and complexity, it is not possible to manage them with our conventional techniques or data mining tools. Using Big Data mining organizations can extract useful information

The Relevancy of a Unified Data Mining Theory (UDMT) For the Big Data
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ABSTRACT For decades, the companies are making their business decisions based on the structured data stored in relational databases but now the trend is to mine the unstructured data such as web-logs, social media, email, images and graphics for useful information.

The Most Advanced Data Mining of the Big Data Era
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Abstract Recently, the acquisition of knowledge from big data analysis is becoming an essential feature of business efficiency. However, the analysis of big data can be troublesome because it often involves the collection and storage of mixed data based on

Review on Data Mining with Big Data
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Abstract:Big Data relates large-volume, complex, increasing data sets with multiple independent sources. With the rapid evolution of data, data storage and the networking collection capability, Big Data are now speedily expanding in all science and engineering

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

Data Mining With Application of Big Data
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Abstract: Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering

APPLICATIONS OF BIG DATA ANALYTICS AND DATA MINING IN HEALTH CARE SECTOR
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ABSTRACT Data Mining is an ever growing field which is used to extract the hidden information using some special techniques and algorithms. Data mining is applied in important sectors like health care, customer relationship management, marketing,

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY Data Mining: Exploring Big Data Analytics, Hadoop and Mapreduce
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Abstract Most internal auditors, especially those working in customer-focused industries, are aware of data mining and what it can do for an organization reduce the cost of acquiring new customers and improve the sales rate of new products and services. However,

A Survey Paper on Data Mining With Big Data
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Abstract:Big Data is a new term used to identify the datasets that due to their large size and complexity. Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. Big Data mining is the capability of

ISSUES, CHALLENGES, AND SOLUTIONS: BIG DATA MINING
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ABSTRACT Data has become an indispensable part of every economy, industry, organization, business function and individual. Big Data is a term used to identify the datasets that whose size is beyond the ability of typical database software tools to store,

MEMORY MANAGEMENT FOR BIG DATA MINING
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Abstract: We have developed a network monitor which can find IP packets sent by Internet Virus from Internet backbone traffic. A data mining engine which can handle 10M transactions per second is the main component of the monitor. Although the data mining

Mining Techniques for Clinical Expert System and Predicting and Treating Lung Cancer withBig Data
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Abstract: Cancer is the very most important cause of death for both Men and Women. The early apprehension and treatment of cancer can be helpful in curing the disease completely. So the obligation of techniques to detect the state of cancer nodule in early stage

Understanding the patterns in Big Data 'dark matter'with GT data mining
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Page 1. Understanding the patterns in Big Data 'dark matter' with GT data mining By:

Data mining and Security in Big data
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Abstract:Data has been growing rapidly due to digitization of the world. Vast amount of data accumulating in every field. Organizations are storing this vast amount of data in their databases as big data which has been maintaining as clusters. But these clusters are not

Big Data: Mining the Web Data and Its Causes on Retail Marketing
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Abstract: The main theme of e-marketing: attracting the consumer in the highly competitive internet market place. Most of the consumers are not satisfied with e-marketing due to lack of virtual interaction. Identifying the web experience components and understanding their

Data Mining: Exploring Big Data Using Hadoop and MapReduce
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ABSTRACT With the fast growth of networks now-a-days organizations has filled with the collection of millions of data with large number of combinations. This big data challenges over business problems. It requires more analysis for the high-performance process. The

Privacy Preserving in Big Data: Data Mining
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ABSTRACT Data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Data mining system contain large amount of private and confidential data. Privacy

Digital Footprints: Capturing, Mining, and Contextualizing Big Data
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Irina Schlovski, IT University, Denmark Data collection in primary territories or When do you get creeped out by your own smartphone 17.30--19.00 Digital Footprints public release: Dinner reception We are celebrating the public academic release of the software Digital

Data Mining with Big Data
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Abstract Visualization of massively massive datasets presents two vital issues. First, the dataset should be ready for mental image, and ancient dataset manipulation ways fail attributable to lack of temporary storage or memory. The second drawback is that the

AN ANALYSIS THROUGH THE AVAILABLE DATA MINING PROCEDURES WITH BIG DATA
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ABSTRACT Big Data can be termed as a popular term which is used to represent massive amount of data that is having exponential growth. This data is huge in size and the volume. As the amount of the data increases in the volume, so does the complexity related to the

Issues and Challenges in the Era of Big Data Mining
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Abstract The amount of data being generated and stored is growing exponentially, owed in part to the continuing advances in computer technology. While big data has become a highlighted buzzword since last two year,big data mining, ie, mining from big data, has

Large-Scale Data Mining and Distributed Processing in Big Data Internet
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Abstract. With the development of Internet, various Internet-based large-scale data are facing increasing competition. With the hope of satisfying the need of data query, it is necessary to use data mining and distributed processing. As a consequence, this paper proposes a large-

Comparing Business Intelligence and Big Data Skills: A Text Mining Study Using Job Advertisements. Business Information Systems Engineering.
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Abstract [English] While many studies on big data analytics describe the data deluge and potential applications for such analytics, the required skill set for dealing with big data has not yet been studied empirically. The difference between big data (BD) and traditional

Online Big Data Stream Mining Using Adaptive Contexts
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Abstract A plethora of stream mining applications have emerged which require classification of large data streams generated by distributed and heterogeneous sources. This data is processed by decentralized learners who have different sets of classification functions to

Review on Data Mining with Big Data
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Abstract:Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering

Big Data: Data Mining Challenges and Related Research
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Abstract: Big Data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large

Association Rule Mining for Structured Data in Big Data Using Parallel RDB-Miner Algorithm
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Abstract:In recent years data volumes have astronomically skyrocketed. Almost all data is now regarded as big data and is now measured in the magnitudes of Yotabytes and Petabytes. This has been catalyzed by the rapid development of the Internet and the

Big Data: Data Mining Challenges and Related Research
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Abstract: Big Data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large

Data Mining and Data Pre-processing for Big Data
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Abstract:Big Data is a term which is used to describe massive amount of data generating from digital sources or the internet usually characterized by 3 V's ie Volume, Velocity and Variety. From the past few years data is exponentially growing due to the use of connected

Mining Big Data using Big Data Services
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While many colleagues within science are fed up with the big data fad, empirical analyses we conducted for the current editorial actually show an inconsistent picture: we use big data services to determine whether there really is an increase in writing about big data or even

ART FRAMEWORKS AND PLAT-FORMS FOR PROCESSING AND MANAGING BIG DATAAS WELL AS THE EFFORTS EXPECTED ON BIG DATA MINING
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Abstract While big data has become a highlighted buzzword since last year,big data mining, ie, mining from big data, has almost immediately followed up as an emerging, interrelated research area. This paper provides and discussed an overview of big data

A Study of Current State of Work and Challenges in Mining Big Data.
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Big data is term for any collection of data sets very huge and complex that it becomes difficult to process using traditional data processing applications. With data

Real World Application of Big Data in Data Mining Tools
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Abstract:The main aim of this paper is to make a study on the notion Big data and its application in data mining tools like We are awash in a flood of data today. In a broad range of application areas, data is being

Data Mining With Big Data Image De-Duplication In Social Networking Websites
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ABSTRACT Big data is the term for a collection of data sets which are large and complex. Data comes from everywhere, sensor used to gather climate information, posts to social media sites and video. This data is known as Big data. useful data can be extracted from

RELATING BIG DATA TO LOCAL NATURAL HAZARDS: LESSONS LEARNED FROM DATA MINING THE TWITTER API FOR VOLUNTEERED GEOGRAPHIC
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ABSTRACT New media are increasingly used to capture ambient and volunteered geographic information in multiple contexts, from mapping the evolution of the social movements to tracking infectious disease. The social media platform Twitter is popular for

Temporal Data Mining for Small and Big Data
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Pattern discovery in event sequences: 1. Sequence mining (multiple sequences): Apriori, GSP.. 2. Association rule discovery (single sequence) 3. Frequent Episode Discovery (single sequence). An episode is a sequence of events appearing within a specific time window

Islamic Resources Big Data mining, Extraction and Archiving
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Abstract: Big data technologies is an evolving term that describes the variety of techniques for searching, collecting, processing, analysing, and storing a large amount of structured, semi-structured and unstructured data that can be mined for information. This is certainly

Study on the Optimization of Data Mining in Big Data
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A Debauched Gathering Procedure to Bunch Very Big Definite Figures Sets in Data Mining
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Abstract:Partitioning a big set of substances hooked on alike bunches is a important procedure in figures mining. The k-means procedure is greatest right for applying this procedure since of its competence in gathering big figures sets. However, working only on

Characterizing and Processing of Big Data Using Data Mining Techniques
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Abstract:Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. It concerns Large-Volume, Complex and growing data sets in both multiple and autonomous sources. Not only in science and engineering

A Survey on Big Data Mining Algorithms
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Abstract: In recent years with the explosive development of internet the size of data has grown a large and reached petabytes size. Bigdataisan immense collection of both structured and unstructured data. Due to its large size discovering knowledge or obtaining

Implementing Graph Pattern Mining for Big Data in the Cloud
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Abstract With the increasing popularity of various social networking sites, there is an explosive growth in data associated with these, so mining big data has become an important problem in the graph pattern mining research area. Graph mining helps to explore the

Big Data Mining: An Overview
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Abstract:Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn't refer to any specific quantity, the term is often used when

Big Data Mining using Map Reduce: A Survey Paper
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Abstract: Big data is large volume, heterogeneous, distributed data. Big data applications where data collection has grown continuously, it is expensive to manage, capture or extract and process data using existing software tools. For example Weather Forecasting,

Towards a Digital Time Machine fueled by Big Data and Social Mining
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A sliding window has been opened by the ICTs, and now we live a measurable global society.Big Data, ie, the digital breadcrumbs of human activities, sensed as a by-product of the technologies that we use, let us observe the individual and collective behavior of

A Survey on Big Data mining Applications and different Challenges
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Abstract:A Big Data is a new term applied to find out the datasets that due to their bulk size and involution. We cannot handle them with our current technique or data mining software tools. A Big data Composes l arge volume, difficult to analyze or understand and WW Chu (ed.), Data Mining and Knowledge Discovery for Big Data, Studies in Big Data 1,

A Review: Data Mining for Big Data
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Abstract:Instead of relying on expensive, proprietary hardware and different systems to store and process data, enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and

MINING IMPLICIT INTEREST BY CLUSTERING AND COLLABORATIVE FILTERING FOR RECOMMENDER SYSTEM IN BIG DATA
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ABSTRACT In today's world Internet plays an vital role, in which number of services are increasing, with service computing and cloud computing. In this paper deals with the service relevant issues from which time efficient will be more and sparsity problem will be reduced

Temporal Multiple Correspondence Analysis for Big Data Mining in Soccer Videos
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Abstract:A multimedia big data mining framework consisting of two phases for interesting event detection in soccer videos has been proposed in this paper. In the pre-processing phase, it utilizes the multi-modal multi-filtering content analysis techniques for shot

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

OLAPing and Mining Big Data: Large-Scale, Long-Running, Serendipitous Computations within Next-Generation Clouds
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Abstract. OLAPing and Mining Big Data is among one of the most attracting research contexts of recent years. Essentially, this puts emphasis on how classical OLAPing and Mining algorithms can be extended in order to deal with novel features of Big Data, such ABSTRACT This paper reports the conclusions of the panel on The role of network analysis and mining in the era of big data held during the 2013 ASONAM conference. The panel was charged with the responsibility of determining one or two big open problems that require a

Novel Framework for Distributed Data Stream Mining in Big data Analytics Using Time Sensitive Sliding Window
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Abstract: In the digital world, large volume of data has been continuously generating from sensors, social media sites, videos, purchase transaction records, and cell phone GPS signals. These types of data are called big data. Big data is used to describe collection of

Big Data Processing and Mining for the future ICT-based Smart Transportation Management System
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Abstract Future Internet (FI) technologies can considerably enhance the effectiveness and user friendliness of present smart transportation management systems (STMS), providing considerable economic and social impact. Real-world application scenarios are needed

Bio-Inspired Fuzzy Expert system for Mining Big data
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Abstract:-The increase in number of documents worldwide increases the difficulty for classifying those documents according to these needs. Cluster availability of large quantity of text documents from the World Wide Web and business document management forms

Statistical Methods for Mining Big Text Data
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Page 1. Statistical Methods for Mining Big Text Data ChengXiang Zhai Department of Computer Science Graduate School of Library Information Science Institute for Genomic Biology Department of Statistics University of Illinois, Urbana-Champaign

Analysis of Mining on Big Data
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Abstract:Large amounts of data, a variety of sources, high speed production, but also high speed processing-these are the basic characteristics of Big Data. The amount of data that is generated and collected in each second grows exponentially. The management of Big

Behavior Mining for Big Data: Promoting Critical Thinking in Data Science Education
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Abstract:The concept of behavior mining has been proposed some time ago. Instead of focusing on the data alone, behavior mining endorses the idea of exploring and mining the underlying natural, social and other kinds of behaviors which have produced the data, and

Two-Stage Data Mining for Big Statistical Micro Data
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Abstract We apply a two-stage data mining strategy to handle and analyze big statistical micro data sets. The first stage consists of smart aggregation of such micro data, and the second data continues to analyze and visualize the smartly aggregated data, further. The

Integrating Data Mining in Camping Along the Big Long River
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Abstract:This paper establish a model to schedule trips down the Big Long River. The goal is to develop the best schedule and determine the carrying capacity of the river. We propose scheduling groups down river in order to maximize the campsite utilization. In order to

Mining and organizing data to improve healthcare quality is quickly becoming a reality, and it is big business.
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29 BioSupply Trends Quarterly October 2013 national trends in the quality of healthcare provided to the American people) indicated that healthcare quality and access are suboptimal, particularly for minorities and low-income individuals. In response, the US


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