Practical Applications of Data Mining

Practical Applications of Data Mining
Author: Sang Suh
Publisher: Jones & Bartlett Publishers
Total Pages: 436
Release: 2012
Genre: Computers
ISBN: 0763785873


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Introduction to data mining -- Association rules -- Classification learning -- Statistics for data mining -- Rough sets and bayes theories -- Neural networks -- Clustering -- Fuzzy information retrieval.


Practical Applications of Data Mining
Language: en
Pages: 436
Authors: Sang Suh
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Jones & Bartlett Publishers

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Introduction to data mining -- Association rules -- Classification learning -- Statistics for data mining -- Rough sets and bayes theories -- Neural networks --
Intelligent Data Mining
Language: en
Pages: 518
Authors: Da Ruan
Categories: Mathematics
Type: BOOK - Published: 2009-09-02 - Publisher: Springer

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"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent sys
Intelligent Data Mining
Language: en
Pages: 536
Authors: Da Ruan
Categories: Mathematics
Type: BOOK - Published: 2005-08-24 - Publisher: Springer Science & Business Media

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"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent sys
Data Mining: Concepts and Techniques
Language: en
Pages: 740
Authors: Jiawei Han
Categories: Computers
Type: BOOK - Published: 2011-06-09 - Publisher: Elsevier

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications
Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Language: en
Pages: 438
Authors: Trivedi, Shrawan Kumar
Categories: Computers
Type: BOOK - Published: 2017-02-14 - Publisher: IGI Global

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The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing e