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Data Mining [electronic resource] : Know it All.

By: Contributor(s): Material type: Computer fileComputer filePublisher number: 9780123746290Publication details: Burlington : Elsevier, 2008.ISBN:
  • 9780080877884
Subject(s): Genre/Form: Additional physical formats: Print version:: Data Mining : Know it AllDDC classification:
  • 005.74 005.74 22 006.312
LOC classification:
  • QA76.9.D343 C446 2008
  • QA76.9.D343D38 2009
  • QA76.9.D343D38345 2009
Online resources:
Contents:
Front cover; Data Mining: Know It All; Copyright page; Table of contents; About This Book; Contributing Authors; Chapter 1 What's It All About?; Chapter 2 Data Acquisition and Integration; Chapter 3 Data Preprocessing; Chapter 4 Physical Design for Decision Support, Warehousing, and OLAP; Chapter 5 Algorithms: The Basic Methods; Chapter 6 Further Techniques in Decision Analysis; Chapter 7 Fundamental Concepts of Genetic Algorithms; Chapter 8 Data Structures and Algorithms for Moving Objects Types; Chapter 9 Improving the Model; Chapter 10 Social Network Analysis; Index;
Summary: All of the elements of data mining together in a single volume written by the best and brightest experts in the field!
Holdings
Item type Home library Call number Status Date due Barcode Item holds
Electronic Resource Electronic Resource UH Online Library Ebooks Not for loan
Total holds: 0

Enhanced descriptions from Syndetics:

Description based upon print version of record.

Front cover; Data Mining: Know It All; Copyright page; Table of contents; About This Book; Contributing Authors; Chapter 1 What's It All About?; Chapter 2 Data Acquisition and Integration; Chapter 3 Data Preprocessing; Chapter 4 Physical Design for Decision Support, Warehousing, and OLAP; Chapter 5 Algorithms: The Basic Methods; Chapter 6 Further Techniques in Decision Analysis; Chapter 7 Fundamental Concepts of Genetic Algorithms; Chapter 8 Data Structures and Algorithms for Moving Objects Types; Chapter 9 Improving the Model; Chapter 10 Social Network Analysis; Index;

All of the elements of data mining together in a single volume written by the best and brightest experts in the field!