[payto](seller)yangyang9189@126.com(/seller)(subject)数据挖掘：机遇和挑战(/subject)(body)<p>Data Mining Opportunities and Challenges</p><p>John Wang<br/>Montclair State University, USA</p><p>PDF 4.7M</p><p>Preface ......................................................................................................................... vii<br/>John Wang, Montclair State University, USA<br/>Chapter I<br/>A Survey of Bayesian Data Mining ................................................................................1<br/>Stefan Arnborg, Royal Institute of Technology and Swedish Institute of Computer<br/>Science, Sweden<br/>Chapter II<br/>Control of Inductive Bias in Supervised Learning Using Evolutionary Computation:<br/>A Wrapper-Based Approach ....................................................................................... 27<br/>William H. Hsu, Kansas State University, USA<br/>Chapter III<br/>Cooperative Learning and Virtual Reality-Based Visualization for Data Mining ..... 55<br/>Herna Viktor, University of Ottawa, Canada<br/>Eric Paquet, National Research Council, Canada<br/>Gys le Roux, University of Pretoria, South Africa<br/>Chapter IV<br/>Feature Selection in Data Mining ............................................................................... 80<br/>YongSeog Kim, University of Iowa, USA<br/>W. Nick Street, University of Iowa, USA<br/>Filippo Menczer, University of Iowa, USA<br/>Chapter V<br/>Parallel and Distributed Data Mining through Parallel Skeletons and Distributed<br/>Objects ...................................................................................................................... 106<br/>Massimo Coppola, University of Pisa, Italy<br/>Marco Vanneschi, University of Pisa, Italy<br/>Chapter VI<br/>Data Mining Based on Rough Sets ........................................................................... 142<br/>Jerzy W. Grzymala-Busse, University of Kansas, USA<br/>Wojciech Ziarko, University of Regina, Canada<br/>Chapter VII<br/>The Impact of Missing Data on Data Mining ............................................................ 174<br/>Marvin L. Brown, Hawaii Pacific University, USA<br/>John F. Kros, East Carolina University, USA<br/>Chapter VIII<br/>Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps . 199<br/>Hsin-Chang Yang, Chang Jung University, Taiwan<br/>Chung-Hong Lee, Chang Jung University, Taiwan<br/>Chapter IX<br/>The Pitfalls of Knowledge Discovery in Databases and Data Mining ....................... 220<br/>John Wang, Montclair State University, USA<br/>Alan Oppenheim, Montclair State University, USA<br/>Chapter X<br/>Maximum Performance Efficiency Approaches for Estimating Best Practice<br/>Costs ........................................................................................................................ 239<br/>Marvin D. Troutt, Kent State University, USA<br/>Donald W. Gribbin, Southern Illinois University at Carbondale, USA<br/>Murali S. Shanker, Kent State University, USA<br/>Aimao Zhang, Georgia Southern University, USA<br/>Chapter XI<br/>Bayesian Data Mining and Knowledge Discovery .................................................... 260<br/>Eitel J. M. Lauria, State University of New York, Albany, USA, Universidad<br/>del Salvador, Argentina<br/>Giri Kumar Tayi, State University of New York, Albany, USA<br/>Chapter XII<br/>Mining Free Text for Structure ................................................................................ 278<br/>Vladimir A. Kulyukin, Utah State University, USA<br/>Robin Burke, DePaul University, USA<br/>Chapter XIII<br/>Query-By-Structure Approach for the Web ............................................................. 301<br/>Michael Johnson, Madonna University, USA<br/>Farshad Fotouhi, Wayne State University, USA<br/>Sorin Draghici, Wayne State University, USA<br/>Chapter XIV<br/>Financial Benchmarking Using Self-Organizing Maps – Studying the International<br/>Pulp and Paper Industry ............................................................................................ 323<br/>Tomas Eklund, Turku Centre for Computer Science, Finland<br/>Barbro Back, &Aring;bo Akademi University, Finland<br/>Hannu Vanharanta, Pori School of Technology and Economics, Finland<br/>Ari Visa, Tampere University of Technology, Finland<br/>Chapter XV<br/>Data Mining in Health Care Applications ................................................................ 350<br/>Fay Cobb Payton, North Carolina State University, USA<br/>Chapter XVI<br/>Data Mining for Human Resource Information Systems ......................................... 366<br/>Lori K. Long, Kent State University, USA<br/>Marvin D. Troutt, Kent State University, USA<br/>Chapter XVII<br/>Data Mining in Information Technology and Banking Performance ...................... 382<br/>Yao Chen, University of Massachusetts at Lowell, USA<br/>Joe Zhu, Worcester Polytechnic Institute, USA<br/>Chapter XVIII<br/>Social, Ethical and Legal Issues of Data Mining ...................................................... 395<br/>Jack S. Cook, Rochester Institute of Technology, USA<br/>Laura L. Cook, State University of New York at Geneseo, USA<br/>Chapter XIX<br/>Data Mining in Designing an Agent-Based DSS ..................................................... 421<br/>Christian B&ouml;hm, GIDSATD–UTN–FRSF, Argentina<br/>María Rosa Galli, GIDSATD–UTN–FRSF and INGAR–CONICET, Argentina<br/>Omar Chiotti, GIDSATD–UTN–FRSF and INGAR–CONICET, Argentina<br/>Chapter XX<br/>Critical and Future Trends in Data Mining: A Review of Key Data Mining<br/>Technologies/Applications ........................................................................................ 437<br/>Jeffrey Hsu, Fairleigh Dickinson University, USA<br/>About the Authors ..................................................................................................... 453<br/>Index ........................................................................................................................ 462</p><br/>(/body)(price)3(/price)(transport)1(/transport)[/payto]