Scalable Classification Tree Construction

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Scalable Classification Tree Construction

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Author : Johannes Ernst Gehrke
language : en
Publisher:
Release Date : 1999

Scalable Classification Tree Construction written by Johannes Ernst Gehrke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.

Scalable Classification And Regression Tree Construction

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Author : Alin Viorel Dobra
language : en
Publisher:
Release Date : 2003

Scalable Classification And Regression Tree Construction written by Alin Viorel Dobra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Data Mining

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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2015-04-13

Data Mining written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-13 with Computers categories.

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

Data Classification

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Author : Charu C. Aggarwal
language : en
Publisher: CRC Press
Release Date : 2014-07-25

Data Classification written by Charu C. Aggarwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Business & Economics categories.

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Euro Par 2002 Parallel Processing

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Author : Burkhard Monien
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-08-21

Euro Par 2002 Parallel Processing written by Burkhard Monien and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-21 with Computers categories.

This book constitutes the refereed proceedings of the 8th European Conference on Parallel Computing, Euro-Par 2002, held in Paderborn, Germany in August 2002. The 67 revised full papers and 55 research note papers presented together with 6 invited papers were carefully reviewed and selected from 265 submissions. The papers presented give a unique survey of the state of the art in parallel computing research, ranging from algorithms, software, hardware and application in various fields.

Proceedings Of The Fifth Siam International Conference On Data Mining

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Author : Hillol Kargupta
language : en
Publisher: SIAM
Release Date : 2005-04-01

Proceedings Of The Fifth Siam International Conference On Data Mining written by Hillol Kargupta and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-01 with Mathematics categories.

The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.

Data Mining Concepts And Techniques

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Author : Jiawei Han
language : en
Publisher: Elsevier
Release Date : 2011-06-09

Data Mining Concepts And Techniques written by Jiawei Han and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-09 with Computers categories.

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Proceedings Of The 1999 Acm Sigmod International Conference On Management Of Data

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Author : Alex Delis
language : en
Publisher:
Release Date : 1999

Proceedings Of The 1999 Acm Sigmod International Conference On Management Of Data written by Alex Delis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computer science categories.

Parallel Processing And Applied Mathematics

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Author :
language : en
Publisher:
Release Date : 2005

Parallel Processing And Applied Mathematics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.

Kdd

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Author :
language : en
Publisher:
Release Date : 2003

Kdd written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Data mining categories.