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
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.
Automating the Design of Data Mining Algorithms
Language: en
Pages: 198
Authors: Gisele L. Pappa
Categories: Computers
Type: BOOK - Published: 2009-10-27 - Publisher: Springer Science & Business Media

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Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interestin
Mining of Massive Datasets
Language: en
Pages: 480
Authors: Jure Leskovec
Categories: Computers
Type: BOOK - Published: 2014-11-13 - Publisher: Cambridge University Press

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Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Contrast Data Mining
Language: en
Pages: 428
Authors: Guozhu Dong
Categories: Business & Economics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

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A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects