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Monday, January 23, 2012

Data Mining and Knowledge Discovery Technologies






Data Mining and
Knowledge Discovery
Technologies
Table of Contents
Preface .........................................................................................................................vii
Section I:
Association Rules
Chapter I
OLEMAR: An Online Environment for Mining Association Rules in
Multidimensional Data ................................................................................................. 1
Riadh Ben Messaoud, University of Lyon 2, France
Sabine Loudcher Rabaséda, University of Lyon 2, France
Rokia Missaoui, University of Québec, Canada
Omar Boussaid, University of Lyon 2, France
Chapter II
Current Interestingness Measures for Association Rules: What Do They
Really Measure? .......................................................................................................... 36
Yun Sing Koh, Auckland University of Technology, New Zealand
Richard O’Keefe, University of Otago, New Zealand
Nathan Rountree, University of Otago, New Zealand
Chapter III
Mining Association Rules from XML Data .................................................................59
Qin Ding, East Carolina University, USA
Gnanasekaran Sundarraj, The Pennsylvania State University at Harrisburg, USA
Chapter IV
A Lattice-Based Framework for Interactively and Incrementally Mining Web
Traversal Patterns ...................................................................................................... 72
Yue-Shi Lee, Ming Chuan University, Taiwan, R.O.C.
Show-Jane Yen, Ming Chuan University, Taiwan, R.O.C.
Section II:
Clustering and Classification
Chapter V
Determination of Optimal Clusters Using a Genetic Algorithm ............................ 98
Tushar, Indian Institute of Technology, Kharagpur, India
Shibendu Shekhar Roy, Indian Institute of Technology, Kharagpur, India
Dilip Kumar Pratihar, Indian Institute of Technology, Kharagpur, India
Chapter VI
K-Means Clustering Adopting rbf-Kernel .............................................................. 118
ABM Shawkat Ali, Central Queensland University, Australia
Chapter VII
Advances in Classification of Sequence Data ......................................................... 143
Pradeep Kumar, University of Hyderabad, Gachibowli, India
P.Radha Krishna, University of Hyderabad, Gachibowli, India
Raju. S. Bapi, University of Hyderabad, Gachibowli, India
T. M. Padmaja, University of Hyderabad, Gachibowli, India
Chapter VIII
Using Cryptography for Privacy-Preserving Data Mining ................................... 175
Justin Zhan, Carnegie Mellon University, USA
Section III:
Domain Driven and Model Free
Chapter IX
Domain Driven Data Mining.................................................................................... 196
Longbing Cao, University of Technology, Sydney, Australia
Chengqi Zhang, University of Technology, Sydney, Australia
Chapter X
Model Free Data Mining ......................................................................................... 224
Can Yang, Zhejiang University, Hangzhou, P. R. China
Jun Meng, Zhejiang University, Hangzhou, P. R. China
Shanan Zhu, Zhejiang University, Hangzhou, P. R. China
Mingwei Dai, Xi’an Jiao Tong University, Xi’an, P. R. China
Section IV:
Issues and Applications
Chapter XI
Minimizing the Minus Sides of Mining Data ......................................................... 254
John Wang, Montclair State University, USA
Xiaohua Hu, Drexel University, USA
Dan Zhu, Iowa State University, USA
Chapter XII
Study of Protein-Protein Interactions from Multiple Data Sources .................... 280
Tu Bao Ho, Japan Advanced Institute of Science and Technology, Japan
Thanh Phuong Nguyen, Japan Advanced Institute of Science and
Technology, Japan
Tuan Nam Tran, Japan Advanced Institute of Science and Technology,
Japan
Chapter XIII
Data Mining in the Social Sciences and Iterative Attribute Elimination ............ 308
Anthony Scime, SUNY Brockport, USA
Gregg R. Murray, SUNY Brockport, USA
Wan Huang, SUNY Brockport, USA
Carol Brownstein-Evans, Nazareth College, USA
Chapter XIV
A Machine Learning Approach for One-Stop Learning ...................................... 333
Marco A. Alvarez, Utah State University, USA
SeungJin Lim, Utah State University, USA
About the Contributors ............................................................................................ 358
Index ....................................................................................................................... 367

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