Preface

Technical Meeting Committee (PDF)

pp. xii

Program Committee (PDF)

pp. xiii

Invited Paper

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

Stuart H. Rubin, SPAWAR SYSTEMS CENTER

pp. 3-10

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Classification I

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

Thomas Villmann, University Leipzig, Germany

Frank-Michael Schleif, University Leipzig, Germany

Barbara Hammer, Clausthal University of Technology, Germany

pp. 11-15

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Intelligent Combination of Kernels Information for Improved Classification (Abstract)

Abdul Majid, Ghulam Ishaq Khan (GIK) Institute of Engineering Science & Technology, Pakistan

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

pp. 16-21

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

Senjian An, Curtin University of Technology, Australia

Wanquan Liu, Curtin University of Technology, Australia

Svetha Venkatesh, Curtin University of Technology, Australia

pp. 22-30

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Classification II

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

Daisuke Yamaguchi, Kanagawa University, Japan

Guo-Dong Li, Teikyo University, Japan

Takahiro Akabane, Teikyo University, Japan

pp. 31-36

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Feature Selection based on Word-Sentence Relation (Abstract)

Péter Schönhofen, Informatics Laboratory, Budapest

András A. Benczúr, Informatics Laboratory, Budapest

pp. 37-42

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Active Learning for Reducing Bias and Variance of a Classifier Using Jensen-Shannon Divergence (Abstract)

Minoo Aminian, SUNY Albany

pp. 43-48

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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

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Identifying Noise in an Attribute of Interest (Abstract)

Taghi M. Khoshgoftaar, Florida Atlantic University

Jason Van Hulse, Florida Atlantic University

pp. 55-62

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Applications I

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

Mahsa Kamali Moghaddam, Amirkabir University of Technology, Iran

Reza Safabakhsh, Amirkabir University of Technology, Iran

pp. 63-68

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Face Recognition Using OPRA-Faces (Abstract)

E. Kokiopoulou, University of Minnesota

Y. Saad, University of Minnesota

pp. 69-74

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

Alina Lazar, Youngstown State University

Bradley A. Shellito, Youngstown State University

pp. 75-81

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Predicting Software Suitability Using a Bayesian Belief Network (Abstract)

Justin M. Beaver, NASA, Kennedy Space Center

Guy A. Schiavone, University of Central Florida

Joseph S. Berrios, University of Central Florida

pp. 82-88

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Parallel Algorithm for Control Chart Pattern Recognition (Abstract)

M. Arif Wani, California State University Bakersfield

Sumia Rashid, California State University Bakersfield

pp. 89-96

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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

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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

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The Data Mining Advisor: Meta-learning at the Service of Practitioners (Abstract)

Christophe Giraud-Carrier, Brigham Young University

pp. 113-119

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Intrusion Detection in Wireless Networks using Clustering (Abstract)

Taghi M. Khoshgoftaar, Florida Atlantic University

Shyam V. Nath, Florida Atlantic University

Shi Zhong, Florida Atlantic University

Naeem Seliya, University of Michigan - Dearborn

pp. 120-128

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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

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

Lit-Hsin Loo, Harvard University

Samuel R oberts, GlaxoSmithKline Pharmaceuticals

Leonid Hrebien, Drexel University

Moshe Kam, Drexel University

pp. 135-144

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

Huimin Geng, University of Nebraska Medical Center

Xutao Deng, University of Nebraska at Omaha

Hesham Ali, University of Nebraska at Omaha

pp. 145-150

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

Robel Y. Kahsay, University of Delaware

Guang R. Gao, University of Delaware

Li Liao, University of Delaward

pp. 151-155

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Iterative Weighting of Phylogenetic Profiles Increases Classification Accuracy (Abstract)

Roger Craig, University of Delaware

Li Liao, University of Delaware

pp. 156-164

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Special Session: Applications of Machine Learning in Medicine and Biology II

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

Rodrigo A. Vivanco, Institute for Biodiagnostics, National Research Council Canada

Aleksander Demko, Institute for Biodiagnostics, National Research Council Canada

Nick J. Pizzi, Institute for Biodiagnostics, National Research Council Canada

pp. 165-170

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

M. Kwiatkowska, Thompson Rivers University

A. S. Atkins, Simon Fraser University

N. T. Ayas, University of British Columbia

C. F. Ryan, University of British Columbia

pp. 171-176

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

Rafal Rak, University of Alberta, Canada

Lukasz Kurgan, University of Alberta, Canada

Marek Reformat, University of Alberta, Canada

pp. 177-186

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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

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Sparse classifiers for Automated HeartWall Motion Abnormality Detection (Abstract)

Glenn Fung, Siemens Medical Solutions

Maleeha Qazi, Siemens Medical Solutions

Sriram Krishnan, Siemens Medical Solutions

Jinbo Bi, Siemens Medical Solutions

Bharat Rao, Siemens Medical Solutions

Alan Katz, St. Francis Hospital

pp. 194-200

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Attribute Selection Methods Comparison for Classification of Diffuse Large B-Cell Lymphoma (Abstract)

Helyane Bronoski Borges, PPGIA - Pontifícia Universidade Católica do Paraná (PUCPR), Brazil

Júlio Cesar Nievola, PPGIA - Pontifícia Universidade Católica do Paraná (PUCPR), Brazil

pp. 201-206

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

Adam E. Gaweda,, University of Louisville

Mehmet K. Muezzinoglu, University of Louisville

George R. Aronoff, University of Louisville

Alfred A. Jacobs, University of Louisville

Jacek M. Zurada, University of Louisville

Michael E. Brier, Department of Veteran Affairs, Louisville

pp. 207-214

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Special Session: Applications of Machine Learning in Medicine and Biology IV

Segmenting Brain Tumors using Alignment-Based Features (Abstract)

Mark Schmidt, University of Alberta

Ilya Levner, University of Alberta

Russell Greiner, University of Alberta

Albert Murtha,, Cross Cancer Institute, Canada

Aalo Bistritz, Cross Cancer Institute, Canada

pp. 215-220

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

Valentina Bayer Zubek, Aureon Laboratories, Inc.

David Verbel, Aureon Laboratories, Inc.

Olivier Saidi, Aureon Laboratories, Inc.

pp. 221-226

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

Hui Liu, University of Illinois at Chicago

Ash Kshirsagar, University of Illinois at Chicago

Craig Niederberger, University of Illinois at Chicago

pp. 227-232

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

Alireza Tamaddoni-Nezhad, Imperial College London

Raphael Chaleil, Imperial College London

Antonis Kakas, University of Cyprus

Stephen Muggleton, Imperial College London

pp. 233-239

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Depth of Anaesthesia Assessment with Generative Polyspectral Models (Abstract)

I. Rezek,, University of Oxford, U.K.

S. J. Roberts, University of Oxford, U.K.

E. Siva, University of Oxford, U.K.

R. Conradt, University of Oxford, U.K.

pp. 239-246

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Learning

Optimization Approaches for Semi-Supervised Learning (Abstract)

Yasutoshi Yajima, Tokyo Institute of Technology

Takashi Hoshiba, Tokyo Institute of Technology

pp. 247-252

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

Shinichi Hamano, Osaka Prefecture University, Japan

pp. 253-258

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Efficient Construction of Relational Features (Abstract)

Filip Zelezny, Czech Technology University in Prague

pp. 259-266

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Clustering

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

Rasika Amarasiri, Monash University, Australia

Jason Ceddia, Monash University, Australia

Damminda Alahakoon, Monash University, Australia

pp. 267-272

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

A. S¸ima Uyar, Istanbul Technical University, Turkey

Sule Gunduz Oguducu, Istanbul Technical University, Turkey

pp. 273-278

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Towards Discovering Organizational Structure from Email Corpus (Abstract)

Ding Zhou, The Pennsylvania State University

Yang Song, The Pennsylvania State University

Hongyuan Zha, The Pennsylvania State University

Ya Zhang, The Pennsylvania State University

pp. 279-284

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

Ray R. Hashemi, Armstrong Atlantic State University

Mahmood Bahar, Teachers Training University, Iran

Christopher Childers, Armstrong Atlantic University

Alexander A. Tyler, University College Cork, Ireland

pp. 285-292

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Text Processing

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

Vishwa Vinay, University College London, UK

Ingemar J. Cox, University College London, UK

Ken Wood,, Microsoft Research Ltd., UK

Natasa Milic-Frayling, Microsoft Research Ltd., UK

pp. 293-298

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Learning Contextual Behavior of Text Data (Abstract)

Coskun Bayrak, University of Arkansas at Little Rock

Hemant Joshi, University of Arkansas at Little Rock

pp. 299-304

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

Thammanoon Ditcharoen, Mahidol University, Thailand

Kanlaya Naruedomkul, Mahidol University, Thailand

Nick Cercone, Dalhousie University, Canada

Bundit Tipakorn, King Mongkut's University of Technology, Thailand

pp. 305-311

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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

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Evolutionary-Based Methods

Solving the Traveling Salesman Problem through Genetic Algorithms with Changing Crossover Operators (Abstract)

Ryouei Takahashi, Hachinohe Institute of Technology

pp. 319-324

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Switching for Functional Localization of Genetic Network Programming (Abstract)

Shinji Eto, Waseda University, Japan

Kotaro Hirasawa, Waseda University, Japan

Jingle Hu, Waseda University, Japan

pp. 325-330

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

Janaki Gopalan, University of Calgary, Canada

Erkan Korkmaz, Yeditepe University, Turkey

Reda Alhajj, Global University, Lebanon

Ken Barker, University of Calgary, Canada

pp. 331-336

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

Xin Li, University of Illinois at Chicago

Weimin Xiao, Physical Realization Research Center of Motorola Labs

Peter C. Nelson, University of Illinois at Chicago

pp. 337-342

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Self bounding Genetic Algorithms for Machine Learning (Abstract)

Fernando Lozano, Universidad de los Andes, Columbia

Vladimir Koltchinskii, University of New Mexico

pp. 343-350

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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

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Automatic Defect Classification Using Boosting (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

Yu Han Jeong, Samsung Electronics Co.

Ki Suk Chung, Samsung Electronics Co.

Chung Sam Jun, Samsung Electronics Co.

pp. 357-362

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An Efficient Multicategory Classifier Based on AdaBoosting (Abstract)

Hong Il Kim, Seoul National University, South Korea

Sang Hwa Lee, Seoul National University, South Korea

Nam Ik Cho, Seoul National University, South Korea

pp. 363-367

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Algorithms for parallel boosting (Abstract)

Fernando Lozano, Universidad de los Andes, Columbia

Pedro Rangel, Universidad de los Andes, Columbia

pp. 368-373

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

Pedro Rangel, Universidad de los Andes, Columbia

Fernando Lozano, Universidad de los Andes, Columbia

Elkin García, Universidad de los Andes, Columbia

pp. 374-382

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Associations Learning

On The Discovery of Semantically Enhanced Sequential Patterns (Abstract)

Mehdi Adda, DIRO Universit´e de Montr´eal, Canada

Petko Valtchev, DIRO Universit´e de Montr´eal, Canada

Rokia Missaoui, Universit´e du Qu´ebec en Outaouais, Canada

Chabane Djeraba, LIFL - UMR, France

pp. 383-390

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Fuzzy Frequent Pattern Discovering Based on Recursive Elimination (Abstract)

Xiaomeng Wang, Otto-von-Guericke-University of Magdeburg, Germany

Christian Borgelt, Otto-von-Guericke-University of Magdeburg, Germany

Rudolf Kruse, Otto-von-Guericke-University of Magdeburg, Germany

pp. 391-396

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Detecting Temporally Redundant Association Rules (Abstract)

Mirko Bottcher, Intelligent Systems Research Centre, UK

Martin Spott, Intelligent Systems Research Centre, UK

Detlef Nauck, Intelligent Systems Research Centre, UK

pp. 397-403

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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

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Author Index

Author Index (PDF)

pp. 411-412