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Produktbild: Data Mining: Know It All

Data Mining: Know It All

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Beschreibung

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and...

Beschreibung

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.11.2008

Verlag Morgan Kaufmann
Seitenzahl

480

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.11.2008

Verlag Morgan Kaufmann
Seitenzahl

480

Maße (L/B/H)

24,3/20/3,8 cm

Gewicht

1145 g

Sprache

Englisch

ISBN

978-0-12-374629-0

EU-Ansprechpartner

Elsevier B.V.
Radarweg 29
1043 NX Amsterdam
NL
nlinfo@elsevier.com

Herstelleradresse

Elsevier Limited (Morgan Kaufmann)
45 Gee Street
EC1V 3RS London
UK
emeadirect@elsevier.com

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  • Produktbild: Data Mining: Know It All
  • Chapter 1: Data Mining Overview Chapter 2: Data Acquisition and Integration Chapter 3: Data Pre-processing Chapter 4: Physical Design for Decision Support, Warehousing, and OLAPChapter 5: Algorithms - The Basic Methods Chapter 6: Further Techniques in Decision Analysis Chapter 7: Fundamental Concepts of Genetic Algorithms Chapter 8: Spatio-Temporal Data Structures and Algorithms for Moving Objects Types Chapter 9: Improving the Mined ModelChapter 10: Web Mining - Social Network Analysis