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The Handbook of Data Mining (Ye, 2003) [Hardcover]
US $89.99
Approximately£71.27
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Located in: Normal, Illinois, United States
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eBay item number:224174225695
Item specifics
- Condition
- Country/Region of Manufacture
- United States
- ISBN
- 9780805840810
- Subject Area
- Computers, Technology & Engineering, Psychology
- Publication Name
- Handbook of Data Mining
- Publisher
- CRC Press LLC
- Item Length
- 6 in
- Subject
- Industrial Engineering, Databases / Data Mining, Research & Methodology
- Publication Year
- 2003
- Series
- Human Factors and Ergonomics Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.9 in
- Item Weight
- 50.5 Oz
- Item Width
- 9 in
- Number of Pages
- 720 Pages
About this product
Product Information
This bk is the 1st comprehensive one to feature systematic coverage of the concepts, techniques, examples, issues, software tools and future advancements of data mining. The demand for DM apps are increasing in indus, gov, & academia.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0805840818
ISBN-13
9780805840810
eBay Product ID (ePID)
2430959
Product Key Features
Number of Pages
720 Pages
Language
English
Publication Name
Handbook of Data Mining
Publication Year
2003
Subject
Industrial Engineering, Databases / Data Mining, Research & Methodology
Type
Textbook
Subject Area
Computers, Technology & Engineering, Psychology
Series
Human Factors and Ergonomics Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
50.5 Oz
Item Length
6 in
Item Width
9 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-156029
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
006.3
Lc Classification Number
Qa76.9.D343h385 2003
Table of Content
Contents: G. Salvendy, Foreword. N. Ye, Preface. Part I: Methodologies of Data Mining. J. Gehrke, Decision Trees. G.I. Webb, Association Rules. J. Si, B.J. Nelson, G.C. Runger, Artificial Neural Network Models for Data Mining. C.M. Borror, Statistical Analysis of Normal and Abnormal Data. D. Madigan, G. Ridgeway, Bayesian Data Analysis. S.L. Scott, Hidden Markov Processes and Sequential Pattern Mining. G. Ridgeway, Strategies and Methods for Prediction. D.W. Apley, Principal Components and Factor Analysis. E. Ip, I. Cadez, P. Smyth, Psychometric Methods of Latent Variable Modeling. J. Ghosh, Scalable Clustering. G. Das, D. Gunopulos, Time Series Similarity and Indexing. Y-C. Lai, Z. Liu, N. Ye, T. Yalcinkaya, Nonlinear Time Series Analysis. B-H. Park, H. Kargupta, Distributed Data Mining. Part II: Management of Data Mining. D. Pyle, Data Collection, Preparation, Quality, and Visualization. T. Wu, X. Li, Data Storage and Management. H. Liu, L. Yu, H. Motoda, Feature Extraction, Selection, and Construction. S.M. Weiss, T. Zhang, Performance Analysis and Evaluation. C. Clifton, Security and Privacy. R. Grossman, M. Hornick, G. Meyer, Emerging Standards and Interfaces. Part III: Applications of Data Mining. D.A. Nembhard, Mining Human Performance Data. R. Feldman, Mining Text Data. S. Shekhar, R.R. Vatsavai, Mining Geospatial Data. C. Kamath, Mining Science and Engineering Data. M.J. Zaki, Mining Data in Bioinformatics. R. Cooley, Mining Customer Relationship Management (CRM) Data. N. Ye, Mining Computer and Network Security Data. C. Djeraba, G. Fernandez, Mining Image Data. M.C. Testik, G.C. Runger, Mining Manufacturing Quality Data.
Copyright Date
2003
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