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Data Mining: Introductory and Advanced Topics by Dunham, Margaret H.

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Data Mining: Introductory and Advanced Topics
ISBN
9780130888921
Publication Year
2002
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Data Mining: Introductory and Advanced Topics
Item Height
0.8in
Author
Margaret Dunham
Item Length
9in
Publisher
Prentice Hall PTR
Item Width
7in
Item Weight
18.7 Oz
Number of Pages
336 Pages

About this product

Product Information

For courses in data mining. Thorough in its coverage from basic to advanced topics, this text presents the algorithms and techniques used in data mining. It introduces readers to various data mining concepts and algorithms.

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130888923
ISBN-13
9780130888921
eBay Product ID (ePID)
2242639

Product Key Features

Author
Margaret Dunham
Publication Name
Data Mining: Introductory and Advanced Topics
Format
Trade Paperback
Language
English
Publication Year
2002
Type
Textbook
Number of Pages
336 Pages

Dimensions

Item Length
9in
Item Height
0.8in
Item Width
7in
Item Weight
18.7 Oz

Additional Product Features

Lc Classification Number
Qa76.9.D343d86 2002
Reviews
"It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly right and appropriate. Each algorithm is presented in pseudocode that is sufficient for any interested readers to convert into a working implementation in a computer language of their choice." Michael H. Huhns, University of South Carolina "Discussion on distributed, parallel, and incremental algorithms is outstanding." Zoran Obradovic, Temple University, "It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly right and appropriate. Each algorithm is presented in pseudocode that is sufficient for any interested readers to convert into a working implementation in a computer language of their choice." -- Michael H. Huhns, University of South Carolina "Discussion on distributed, parallel, and incremental algorithms is outstanding." -- Zoran Obradovic, Temple University, "It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly right and appropriate. Each algorithm is presented in pseudocode that is sufficient for any interested readers to convert into a working implementation in a computer language of their choice." — Michael H. Huhns, University of South Carolina "Discussion on distributed, parallel, and incremental algorithms is outstanding." — Zoran Obradovic, Temple University, " It is the best book on data mining so far, and I would definitely adopt it for my course. The book is very comprehensive and covers all of the data mining topics and algorithms of which 1 am aware. The depth of coverage of each topic or method is exactly right and appropriate. Each algorithm is presented in pseudocode that is sufficient for any interested readers to convert into a working implementation in a computer language of their choice. " — Michael H. Huhns,University of South Carolina " Discussion on distributed, parallel, and incremental algorithms is outstanding. " — Zoran Obradovic,Temple University
Table of Content
I. INTRODUCTION. 1. Introduction. 2. Related Concepts. 3. Data Mining Techniques. II. CORE TOPICS. 4. Classification. 5. Clustering. 6. Association Rules. III. ADVANCED TOPICS. 7. Web Mining. 8. Spatial Mining. 9. Temporal Mining. IV. APPENDIX. 10. Data Mining Products.
Copyright Date
2003
Target Audience
College Audience
Topic
Databases / Data Warehousing, Databases / Data Mining
Lccn
2002-075976
Dewey Decimal
006.3
Dewey Edition
21
Illustrated
Yes
Genre
Computers

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