Data Mining Techniques and Applications

Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing, and text mining.

Data Mining Techniques and Applications

This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit. Author Hongbo Du shares his years of commercial, as well as research-based, experience in the field through extensive examples and real-world case studies, highlighting how data mining solutions provided by software tools are used in practical problem solving. Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing, and text mining.

More Books:

Data Mining Techniques and Applications
Language: en
Pages: 315
Authors: Hongbo Du
Categories: Data mining
Type: BOOK - Published: 2010 - Publisher:

This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way,
Data Mining for Business Analytics
Language: en
Pages: 608
Authors: Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
Categories: Mathematics
Type: BOOK - Published: 2019-11-05 - Publisher: John Wiley & Sons

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems
Data Mining for Business Analytics
Language: en
Pages: 560
Authors: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Categories: Mathematics
Type: BOOK - Published: 2016-04-18 - Publisher: John Wiley & Sons

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner®
Intelligent Data Mining: Techniques And Applications
Language: en
Pages: 517
Authors: Ruan Da Et.Al
Categories: Mathematics
Type: BOOK - Published: 2007-09-01 - Publisher:

Books about Intelligent Data Mining: Techniques And Applications
Intelligent Data Mining
Language: en
Pages: 518
Authors: Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets
Categories: Mathematics
Type: BOOK - Published: 2005-08-24 - Publisher: Springer Science & Business Media

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high