Focusing Solutions for Data Mining Analytical Studies and Experimental Results in Real-World Domains /

In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques...

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Bibliographic Details
Main Author: Reinartz, Thomas (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Lecture Notes in Artificial Intelligence ; 1623
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.
Physical Description:XVI, 316 p. online resource.
ISBN:9783540483168
DOI:10.1007/3-540-48316-0