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Focusing Solutions for Data Mining [electronic resource] : Analytical Studies and Experimental Results in Real-World Domains /

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 1623Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999Edition: 1st ed. 1999Description: XVI, 316 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540483168
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.D3
Online resources:
Contents:
Knowledge Discovery in Databases -- Focusing Tasks -- Focusing Solutions -- Analytical Studies -- Experimental Results -- Conclusions.
In: Springer Nature eBookSummary: 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.
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Knowledge Discovery in Databases -- Focusing Tasks -- Focusing Solutions -- Analytical Studies -- Experimental Results -- Conclusions.

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.

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