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Product Identifiers

PublisherElsevier Science & Technology

ISBN-100123746299

ISBN-139780123746290

eBay Product ID (ePID)69578118

Product Key Features

Number of Pages480 Pages

Publication NameData Mining: Know It All

LanguageEnglish

SubjectIntelligence (Ai) & Semantics, Databases / Data Mining, Databases / General

Publication Year2008

TypeTextbook

AuthorDorian Pyle, Markus Schneider, Mamdouh Refaat, Richard E. Neapolitan, Soumen Chakrabarti

Subject AreaComputers

FormatHardcover

Dimensions

Item Length9.2 in

Item Width7.5 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2008-040367

IllustratedYes

Table Of ContentChapter 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

SynopsisThis 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. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases., 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.

LC Classification NumberQA76.9.D343C446 2008