[下载]Data Mining Opportunities and Challenges

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[payto](seller)yangyang9189@126.com(/seller)(subject)数据挖掘：机遇和挑战(/subject)(body)

Data Mining Opportunities and Challenges

John Wang
Montclair State University, USA

PDF 4.7M

Preface ......................................................................................................................... vii
John Wang, Montclair State University, USA
Chapter I
A Survey of Bayesian Data Mining ................................................................................1
Stefan Arnborg, Royal Institute of Technology and Swedish Institute of Computer
Science, Sweden
Chapter II
Control of Inductive Bias in Supervised Learning Using Evolutionary Computation:
A Wrapper-Based Approach ....................................................................................... 27
William H. Hsu, Kansas State University, USA
Chapter III
Cooperative Learning and Virtual Reality-Based Visualization for Data Mining ..... 55
Herna Viktor, University of Ottawa, Canada
Eric Paquet, National Research Council, Canada
Gys le Roux, University of Pretoria, South Africa
Chapter IV
Feature Selection in Data Mining ............................................................................... 80
YongSeog Kim, University of Iowa, USA
W. Nick Street, University of Iowa, USA
Filippo Menczer, University of Iowa, USA
Chapter V
Parallel and Distributed Data Mining through Parallel Skeletons and Distributed
Objects ...................................................................................................................... 106
Massimo Coppola, University of Pisa, Italy
Marco Vanneschi, University of Pisa, Italy
Chapter VI
Data Mining Based on Rough Sets ........................................................................... 142
Jerzy W. Grzymala-Busse, University of Kansas, USA
Wojciech Ziarko, University of Regina, Canada
Chapter VII
The Impact of Missing Data on Data Mining ............................................................ 174
Marvin L. Brown, Hawaii Pacific University, USA
John F. Kros, East Carolina University, USA
Chapter VIII
Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps . 199
Hsin-Chang Yang, Chang Jung University, Taiwan
Chung-Hong Lee, Chang Jung University, Taiwan
Chapter IX
The Pitfalls of Knowledge Discovery in Databases and Data Mining ....................... 220
John Wang, Montclair State University, USA
Alan Oppenheim, Montclair State University, USA
Chapter X
Maximum Performance Efficiency Approaches for Estimating Best Practice
Costs ........................................................................................................................ 239
Marvin D. Troutt, Kent State University, USA
Donald W. Gribbin, Southern Illinois University at Carbondale, USA
Murali S. Shanker, Kent State University, USA
Aimao Zhang, Georgia Southern University, USA
Chapter XI
Bayesian Data Mining and Knowledge Discovery .................................................... 260
Eitel J. M. Lauria, State University of New York, Albany, USA, Universidad
del Salvador, Argentina
Giri Kumar Tayi, State University of New York, Albany, USA
Chapter XII
Mining Free Text for Structure ................................................................................ 278
Vladimir A. Kulyukin, Utah State University, USA
Robin Burke, DePaul University, USA
Chapter XIII
Query-By-Structure Approach for the Web ............................................................. 301
Michael Johnson, Madonna University, USA
Farshad Fotouhi, Wayne State University, USA
Sorin Draghici, Wayne State University, USA
Chapter XIV
Financial Benchmarking Using Self-Organizing Maps – Studying the International
Pulp and Paper Industry ............................................................................................ 323
Tomas Eklund, Turku Centre for Computer Science, Finland
Barbro Back, Åbo Akademi University, Finland
Hannu Vanharanta, Pori School of Technology and Economics, Finland
Ari Visa, Tampere University of Technology, Finland
Chapter XV
Data Mining in Health Care Applications ................................................................ 350
Fay Cobb Payton, North Carolina State University, USA
Chapter XVI
Data Mining for Human Resource Information Systems ......................................... 366
Lori K. Long, Kent State University, USA
Marvin D. Troutt, Kent State University, USA
Chapter XVII
Data Mining in Information Technology and Banking Performance ...................... 382
Yao Chen, University of Massachusetts at Lowell, USA
Joe Zhu, Worcester Polytechnic Institute, USA
Chapter XVIII
Social, Ethical and Legal Issues of Data Mining ...................................................... 395
Jack S. Cook, Rochester Institute of Technology, USA
Laura L. Cook, State University of New York at Geneseo, USA
Chapter XIX
Data Mining in Designing an Agent-Based DSS ..................................................... 421
Christian Böhm, GIDSATD–UTN–FRSF, Argentina
María Rosa Galli, GIDSATD–UTN–FRSF and INGAR–CONICET, Argentina
Omar Chiotti, GIDSATD–UTN–FRSF and INGAR–CONICET, Argentina
Chapter XX
Critical and Future Trends in Data Mining: A Review of Key Data Mining
Technologies/Applications ........................................................................................ 437
Jeffrey Hsu, Fairleigh Dickinson University, USA
About the Authors ..................................................................................................... 453
Index ........................................................................................................................ 462

195041.pdf (4.56 MB)

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[下载]Data Mining Opportunities and Challenges

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