Data mining : know it all / Soumen Chakrabarti ... [et al.].

Format:

Book

Contributor:

Chakrabarti, Soumen.

Language:

English

Subjects (All):

Data mining.

Physical Description:

1 online resource (477 p.)

Edition:

1st edition

Place of Publication:

Burlington, MA : Elsevier/Morgan Kaufmann Publishers, c2009.

Language Note:

English

System Details:

text file

Summary:

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 a

Contents:

What's it all about?

Data acquisition and integration

Data preprocessing

Physical design for decision support, warehousing, and OLAP

Algorithms, the basic methods

Further techniques in decision analysis

Fundamental concepts of genetic algorithms

Data structures and algorithms for moving objects types

Improving the model

Social network analysis.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786612711121

9781282711129

1282711121

9780080877884

0080877885

OCLC:

316412798