The Community for Technology Leaders
Machine Learning and Applications, Fourth International Conference on (2005)
Los Angeles, CA
Dec. 15, 2005 to Dec. 17, 2005
ISBN: 0-7695-2495-8
TABLE OF CONTENTS

Preface (PDF)

pp. xi
Introduction

Preface (PDF)

pp. xi

Program Committee (PDF)

pp. xiii
Invited Paper

A System of Systems (SoS) Design Amplifier (Abstract)

Stuart H. Rubin , SPAWAR SYSTEMS CENTER
pp. 3-10
Classification I

Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning (Abstract)

Frank-Michael Schleif , University Leipzig, Germany
Thomas Villmann , University Leipzig, Germany
Barbara Hammer , Clausthal University of Technology, Germany
pp. 11-15

Intelligent Combination of Kernels Information for Improved Classification (Abstract)

Asifullah Khan , Ghulam Ishaq Khan (GIK) Institute of Engineering Science & Technology, Pakistan
Anwar M. Mirza , Ghulam Ishaq Khan (GIK) Institute of Engineering Science & Technology, Pakistan
Abdul Majid , Ghulam Ishaq Khan (GIK) Institute of Engineering Science & Technology, Pakistan
pp. 16-21

Fast Cross-validation of Kernel Fisher Discriminant Classifiers (Abstract)

Svetha Venkatesh , Curtin University of Technology, Australia
Senjian An , Curtin University of Technology, Australia
Wanquan Liu , Curtin University of Technology, Australia
pp. 22-30
Classification II

Decision Rule Extraction and Reduction Based on Grey Lattice Classification (Abstract)

Takahiro Akabane , Teikyo University, Japan
Guo-Dong Li , Teikyo University, Japan
Daisuke Yamaguchi , Kanagawa University, Japan
pp. 31-36

Feature Selection based on Word-Sentence Relation (Abstract)

András A. Benczúr , Informatics Laboratory, Budapest
Péter Schönhofen , Informatics Laboratory, Budapest
pp. 37-42

Knowledge Acquisition through Machine Learning: Minimising Expert's Effort (Abstract)

Ricardo Blanco-Vega , Universidad Politécnica de Valencia, Spain
José Hernández-Orallo , Universidad Politécnica de Valencia, Spain
María José Ramírez-Quintana , Universidad Politécnica de Valencia, Spain
pp. 49-54

Identifying Noise in an Attribute of Interest (Abstract)

Taghi M. Khoshgoftaar , Florida Atlantic University
Jason Van Hulse , Florida Atlantic University
pp. 55-62
Applications I

TASOM-based Lip Tracking Using the Color and Geometry of the Face (Abstract)

Reza Safabakhsh , Amirkabir University of Technology, Iran
Mahsa Kamali Moghaddam , Amirkabir University of Technology, Iran
pp. 63-68

Face Recognition Using OPRA-Faces (Abstract)

Y. Saad , University of Minnesota
E. Kokiopoulou , University of Minnesota
pp. 69-74

Comparing Machine Learning Classification Schemes ― a GIS Approach (Abstract)

Bradley A. Shellito , Youngstown State University
Alina Lazar , Youngstown State University
pp. 75-81

Predicting Software Suitability Using a Bayesian Belief Network (Abstract)

Guy A. Schiavone , University of Central Florida
Joseph S. Berrios , University of Central Florida
Justin M. Beaver , NASA, Kennedy Space Center
pp. 82-88

Parallel Algorithm for Control Chart Pattern Recognition (Abstract)

Sumia Rashid , California State University Bakersfield
M. Arif Wani , California State University Bakersfield
pp. 89-96
Applications II

Data-Centric Automated Data Mining (Abstract)

Marcos M. Campos , Oracle Data Mining Technologies
Peter J. Stengard , Oracle Data Mining Technologies
Boriana L. Milenova , Oracel Data Mining Technologies
pp. 97-104

Creation and Deployment of Data Mining-Based Intrusion Detection Systems (Abstract)

Marcos M. Campos , Oracle Data Mining Technologies
Boriana L. Milenova , Oraclel Data Mining Technologies
pp. 105-112

Intrusion Detection in Wireless Networks using Clustering (Abstract)

Taghi M. Khoshgoftaar , Florida Atlantic University
Naeem Seliya , University of Michigan - Dearborn
Shi Zhong , Florida Atlantic University
Shyam V. Nath , Florida Atlantic University
pp. 120-128
Special Session: Applications of Machine Learning in Medicine and Biology I

A Bayesian Kernel for the Prediction of Neuron Properties from Binary Gene Profiles (Abstract)

Franc¸ois Fleuret , Laboratory of Computational Neuroscience
Wulfram Gerstner , Laboratory of Computational Neuroscience
pp. 129-134

New Filter-based Feature Selection Criteria for Identifying Differentially Expressed Genes (Abstract)

Moshe Kam , Drexel University
Leonid Hrebien , Drexel University
Samuel R oberts , GlaxoSmithKline Pharmaceuticals
Lit-Hsin Loo , Harvard University
pp. 135-144

A New Clustering Algorithm Using Message Passing and its Applications in Analyzing Microarray Data (Abstract)

Xutao Deng , University of Nebraska at Omaha
Hesham Ali , University of Nebraska at Omaha
Huimin Geng , University of Nebraska Medical Center
pp. 145-150

Discriminating Transmembrane Proteins From Signal Peptides Using SVM-Fisher Approach (Abstract)

Guang R. Gao , University of Delaware
Robel Y. Kahsay , University of Delaware
Li Liao , University of Delaward
pp. 151-155

Iterative Weighting of Phylogenetic Profiles Increases Classification Accuracy (Abstract)

Roger Craig , University of Delaware
Li Liao , University of Delaware
pp. 156-164
Special Session: Applications of Machine Learning in Medicine and Biology II

Scopira: A Pattern Recognition Application Framework for Biomedical Datasets (Abstract)

Nick J. Pizzi , Institute for Biodiagnostics, National Research Council Canada
Rodrigo A. Vivanco , Institute for Biodiagnostics, National Research Council Canada
Aleksander Demko , Institute for Biodiagnostics, National Research Council Canada
pp. 165-170

Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules (Abstract)

N. T. Ayas , University of British Columbia
M. Kwiatkowska , Thompson Rivers University
A. S. Atkins , Simon Fraser University
C. F. Ryan , University of British Columbia
pp. 171-176

Multi-label Associative Classification of Medical Documents from MEDLINE (Abstract)

Marek Reformat , University of Alberta, Canada
Rafal Rak , University of Alberta, Canada
Lukasz Kurgan , University of Alberta, Canada
pp. 177-186
Special Session: Applications of Machine Learning and Biology III

Drug Design by Machine Learning: Ensemble Learning for QSAR Modeling (Abstract)

Ying Liu , University of Texas at Dallas
pp. 187-193

Sparse classifiers for Automated HeartWall Motion Abnormality Detection (Abstract)

Alan Katz , St. Francis Hospital
Jinbo Bi , Siemens Medical Solutions
Maleeha Qazi , Siemens Medical Solutions
Sriram Krishnan , Siemens Medical Solutions
Glenn Fung , Siemens Medical Solutions
Bharat Rao , Siemens Medical Solutions
pp. 194-200
Special Session: Applications of Machine Learning and Biology III

Incorporating Prior Knowledge into Q-Learning for Drug Delivery Individualization (Abstract)

George R. Aronoff , University of Louisville
Jacek M. Zurada , University of Louisville
Mehmet K. Muezzinoglu , University of Louisville
Alfred A. Jacobs , University of Louisville
Michael E. Brier , Department of Veteran Affairs, Louisville
Adam E. Gaweda, , University of Louisville
pp. 207-214
Special Session: Applications of Machine Learning in Medicine and Biology IV

Segmenting Brain Tumors using Alignment-Based Features (Abstract)

Russell Greiner , University of Alberta
Mark Schmidt , University of Alberta
Aalo Bistritz , Cross Cancer Institute, Canada
Albert Murtha, , Cross Cancer Institute, Canada
Ilya Levner , University of Alberta
pp. 215-220

Censored Time Trees^tm for Predicting Time to PSA Recurrence (Abstract)

Olivier Saidi , Aureon Laboratories, Inc.
Valentina Bayer Zubek , Aureon Laboratories, Inc.
David Verbel , Aureon Laboratories, Inc.
pp. 221-226

The Application of Machine Learning Techniques to the Prediction of Erectile Dysfunction (Abstract)

Ash Kshirsagar , University of Illinois at Chicago
Hui Liu , University of Illinois at Chicago
Craig Niederberger , University of Illinois at Chicago
pp. 227-232

Abduction and Induction for Learning Models of Inhibition in Metabolic Networks (Abstract)

Stephen Muggleton , Imperial College London
Raphael Chaleil , Imperial College London
Alireza Tamaddoni-Nezhad , Imperial College London
Antonis Kakas , University of Cyprus
pp. 233-239

Depth of Anaesthesia Assessment with Generative Polyspectral Models (Abstract)

I. Rezek, , University of Oxford, U.K.
R. Conradt , University of Oxford, U.K.
E. Siva , University of Oxford, U.K.
S. J. Roberts , University of Oxford, U.K.
pp. 239-246
Learning

Optimization Approaches for Semi-Supervised Learning (Abstract)

Yasutoshi Yajima , Tokyo Institute of Technology
Takashi Hoshiba , Tokyo Institute of Technology
pp. 247-252

Equating Interestingness of Causal Rules via Graded Response Theory (Abstract)

Shinichi Hamano , Osaka Prefecture University, Japan
pp. 253-258

Efficient Construction of Relational Features (Abstract)

Filip Zelezny , Czech Technology University in Prague
pp. 259-266
Clustering

Exploratory Data Mining Lead by Text Mining Using a Novel High Dimensional Clustering Algorithm (Abstract)

Jason Ceddia , Monash University, Australia
Damminda Alahakoon , Monash University, Australia
Rasika Amarasiri , Monash University, Australia
pp. 267-272

A New Graph-Based Evolutionary Approach to Sequence Clustering (Abstract)

Sule Gunduz Oguducu , Istanbul Technical University, Turkey
A. S¸ima Uyar , Istanbul Technical University, Turkey
pp. 273-278

Towards Discovering Organizational Structure from Email Corpus (Abstract)

Ding Zhou , The Pennsylvania State University
Hongyuan Zha , The Pennsylvania State University
Yang Song , The Pennsylvania State University
Ya Zhang , The Pennsylvania State University
pp. 279-284

Decoupling of Clustering and Classification Steps in a Cluster-Based Classification (Abstract)

Mahmood Bahar , Teachers Training University, Iran
Christopher Childers , Armstrong Atlantic University
Alexander A. Tyler , University College Cork, Ireland
Ray R. Hashemi , Armstrong Atlantic State University
pp. 285-292
Text Processing

A Comparison of Dimensionality Reduction Techniques for Text Retrieval (Abstract)

Ken Wood, , Microsoft Research Ltd., UK
Ingemar J. Cox , University College London, UK
Natasa Milic-Frayling , Microsoft Research Ltd., UK
Vishwa Vinay , University College London, UK
pp. 293-298

Learning Contextual Behavior of Text Data (Abstract)

Hemant Joshi , University of Arkansas at Little Rock
Coskun Bayrak , University of Arkansas at Little Rock
pp. 299-304

TSTMT: Step towards an Accurate Thai Sign Translation (Abstract)

Bundit Tipakorn , King Mongkut's University of Technology, Thailand
Kanlaya Naruedomkul , Mahidol University, Thailand
Thammanoon Ditcharoen , Mahidol University, Thailand
Nick Cercone , Dalhousie University, Canada
pp. 305-311

Speeding-up Text Categorization in a GRID Computing Environment (Abstract)

Catarina Silva , Polytechnic Institute of Leiria, Portugal
Bernardete Ribeiro , University of Coimbra, Portugal
Uros Lotric , University of Ljubljana, Slovenia
pp. 311-318
Evolutionary-Based Methods

Switching for Functional Localization of Genetic Network Programming (Abstract)

Kotaro Hirasawa , Waseda University, Japan
Shinji Eto , Waseda University, Japan
Jingle Hu , Waseda University, Japan
pp. 325-330

Effective Data Mining by Integrating Genetic Algorithm into the Data Preprocessing Phase (Abstract)

Janaki Gopalan , University of Calgary, Canada
Ken Barker , University of Calgary, Canada
Erkan Korkmaz , Yeditepe University, Turkey
Reda Alhajj , Global University, Lebanon
pp. 331-336

Direct Evolution of Hierarchical Solutions with Self-Emergent Substructures (Abstract)

Peter C. Nelson , University of Illinois at Chicago
Weimin Xiao , Physical Realization Research Center of Motorola Labs
Xin Li , University of Illinois at Chicago
pp. 337-342

Self bounding Genetic Algorithms for Machine Learning (Abstract)

Vladimir Koltchinskii , University of New Mexico
Fernando Lozano , Universidad de los Andes, Columbia
pp. 343-350
Boosting

Class-Dependant Resampling for Medical Applications (Abstract)

R.M. Valdovinos , Instituto Tecnológico de Toluca, Mexico
J.S. Sánchez , Universitat Jaume I, Spain
pp. 351-356

Automatic Defect Classification Using Boosting (Abstract)

Sang Hwa Lee , Seoul National University, South Korea
Chung Sam Jun , Samsung Electronics Co.
Nam Ik Cho , Seoul National University, South Korea
Yu Han Jeong , Samsung Electronics Co.
Ki Suk Chung , Samsung Electronics Co.
Hong Il Kim , Seoul National University, South Korea
pp. 357-362

An Efficient Multicategory Classifier Based on AdaBoosting (Abstract)

Sang Hwa Lee , Seoul National University, South Korea
Hong Il Kim , Seoul National University, South Korea
Nam Ik Cho , Seoul National University, South Korea
pp. 363-367

Algorithms for parallel boosting (Abstract)

Fernando Lozano , Universidad de los Andes, Columbia
Pedro Rangel , Universidad de los Andes, Columbia
pp. 368-373

Boosting of Support Vector Machines with Application to Editing (Abstract)

Elkin García , Universidad de los Andes, Columbia
Pedro Rangel , Universidad de los Andes, Columbia
Fernando Lozano , Universidad de los Andes, Columbia
pp. 374-382
Associations Learning

On The Discovery of Semantically Enhanced Sequential Patterns (Abstract)

Mehdi Adda , DIRO Universit´e de Montr´eal, Canada
Chabane Djeraba , LIFL - UMR, France
Rokia Missaoui , Universit´e du Qu´ebec en Outaouais, Canada
Petko Valtchev , DIRO Universit´e de Montr´eal, Canada
pp. 383-390

Fuzzy Frequent Pattern Discovering Based on Recursive Elimination (Abstract)

Xiaomeng Wang , Otto-von-Guericke-University of Magdeburg, Germany
Rudolf Kruse , Otto-von-Guericke-University of Magdeburg, Germany
Christian Borgelt , Otto-von-Guericke-University of Magdeburg, Germany
pp. 391-396

Detecting Temporally Redundant Association Rules (Abstract)

Martin Spott , Intelligent Systems Research Centre, UK
Mirko Bottcher , Intelligent Systems Research Centre, UK
Detlef Nauck , Intelligent Systems Research Centre, UK
pp. 397-403

Visual Interface for Online Watching of Frequent Itemset Generation in Apriori and Eclat (Abstract)

Aniket Mahanti , University of Calgary, Canada
Reda Alhajj, , Global University, Lebanon
pp. 404-410
Author Index

Author Index (PDF)

pp. 411-412
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