The Top Ten Algorithms in Data Mining

The Top Ten Algorithms in Data Mining
Author: Xindong Wu
Publisher: CRC Press
Total Pages: 230
Release: 2009-04-09
Genre: Business & Economics
ISBN: 142008965X

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Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri


The Top Ten Algorithms in Data Mining
Language: en
Pages: 230
Authors: Xindong Wu
Categories: Business & Economics
Type: BOOK - Published: 2009-04-09 - Publisher: CRC Press

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Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a descript
Pattern Recognition Algorithms for Data Mining
Language: en
Pages: 275
Authors: Sankar K. Pal
Categories: Computers
Type: BOOK - Published: 2004-05-27 - Publisher: CRC Press

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Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental
Data Mining and Analysis
Language: en
Pages: 607
Authors: Mohammed J. Zaki
Categories: Computers
Type: BOOK - Published: 2014-05-12 - Publisher: Cambridge University Press

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A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
Kernel Based Algorithms for Mining Huge Data Sets
Language: en
Pages: 266
Authors: Te-Ming Huang
Categories: Computers
Type: BOOK - Published: 2006-03-02 - Publisher: Springer Science & Business Media

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This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Language: en
Pages: 272
Authors: Alex A. Freitas
Categories: Computers
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the las