Heuristics and optimization for knowledge discovery (Record no. 252870)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04499nam a22002774a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | TH-BaBU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211029134309.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 010814s2002 paua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781930708266 |
| International Standard Book Number | 9781591400172 (electronic bk.) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Transcribing agency | TH-BaBU |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | T57.84 |
| Item number | .H48 2002 |
| 245 00 - TITLE STATEMENT | |
| Title | Heuristics and optimization for knowledge discovery |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | [edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton. |
| 246 14 - VARYING FORM OF TITLE | |
| Title proper/short title | Heuristics & optimization for knowledge discovery |
| Medium | [electronic resource] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Hershey : |
| Name of publisher, distributor, etc. | Idea Group Pub., |
| Date of publication, distribution, etc. | c2002. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine generated contents note: Prefacei -- Section One: Introduction -- Chapter 1.Introducing Data Mining and Knowledge Discovery1 -- R. Sarker, University of New South Wales, Australia -- H. Abbass, University of New South Wales, Australia -- C. Newton, University of New South Wales, Australia -- Section Two: Search and Optimization -- Chapter 2. A Heuristic Algorithm for Feature Selection Based on Optimization Techniques13 -- A.M. Bagirov, University of Ballarat, Australia -- A.M. Rubinov, University ofBallarat, Australia -- J. Yearwood, University ofBallarat, Australia -- Chapter 3. Cost-Sensitive Classification using Decision Trees,Boosting and Meta Cost27 -- Kai Mai Ting, Monash University, Australia -- Chapter 4. Heuristic Search-Based Stacking of Classifiers54 -- Agapito Ledezma, Universidad Carlos III de Madrid, Spain -- Ricardo Aler, Universidad Carlos III de Madrid, Spain -- Daniel Borrajo, Universidad Carlos III de Madrid, Spain -- Chapter 5. Designing Component-Based Heuristic Search Engines for Knowledge Discovery68 -- Craig M. Howard, Lanner Group Ltd. and University of East Anglia, UK -- Chapter 6. Clustering Mixed Incomplete Data 89 -- Jos6 Ruiz-Shulcloper, University of Tennessee, Knoxville, USA -- & Institute of Cybernetics, Mathematics and Physics, Havana, Cuba -- Guillermo Sanchez-Diaz, Autonomous University of the Hidalgo State, Mexico -- Mongi A. Abidi, University of Tennessee, Knoxville, USA -- Section Three: Statistics and Data Mining -- Chapter 7. Bayesian Learning . 108 -- Paula Macrossan, University of New England, Australia -- Kerrie Mengersen, University of Newcastle, Australia -- Chapter 8. How Size Matters: The Role of Sampling in Data Mining122 -- Paul D. Scott, University of Essex, UK -- Chapter 9. The Gamma Test142 -- Antonia J. Jones, Cardiff University, UK -- DafyddEvans, Cardiff University, UK -- Steve Margetts, Cardiff University, UK -- Peter J. Durrant, Cardiff University, UK -- Section Four: Neural Networks and Data Mining -- Chapter 10. Neural Networks-Their Use and Abuse for Small Data Sets169 -- Denny Meyer, Massey University at Albany, New Zealand -- Andrew Balemi, Colmar Brunton Ltd., New Zealand -- Chris Wearing, Colmar Brunton Ltd., New Zealand -- Chapter 11. How To Train Multilayer Perceptrons Efficiently -- With Large Data Sets186 -- Hyeyoung Park, Brain Science Institute, Japan -- Section Five: Applications -- Chapter 12. Cluster Analysis of Marketing Data Examining On-line -- Shopping Orientation: A Comparison ofk-means and Rough -- Clustering Approaches208 -- Kevin E. Voges, Griffith University, Australia -- Nigel K. Ll. Pope, Griffith University, Australia -- MarkR. Brown, Griffith University, Australia -- Chapter 13. Heuristics in Medical Data Mining226 -- Susan E. George, University of South Australia, Australia -- Chapter 14. Understanding Credit Card User's Behaviour: -- A Data Mining Approach241 -- A. de Carvalho, University of Guelph, Canada & University of Sio Paulo, Brazil -- A. Braga, Federal University of Minas Gerais, Brazil -- S. O. Rezende, University of Sao Paulo, Brazil -- T. Ludermir, Federal University ofPemambuco, Brazil -- E. Martineli, University of Sao Paulo, Brazil -- Chapter 15. Heuristic Knowledge Discovery for Archaeological -- Data Using Genetic Algorithms and Rough Sets263 -- Alina Lazar, Wayne State University, USA -- About the Authors279 -- Index287. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Heuristic programming. |
| Topical term or geographic name entry element | Combinatorial optimization. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sarker, Ruhul A. |
| Relator term | ed. |
| Personal name | Abbass, Hussein A. |
| Relator term | ed. |
| Personal name | Newton, Charles S. |
| Fuller form of name | (Charles Sinclair), |
| Dates associated with a name | 1942- , |
| Relator term | ed. |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=66630&site=ehost-live&scope=site">http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=66630&site=ehost-live&scope=site</a> |
| Public note | Electronic Resources |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | E-Book |
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