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TABLE OF CONTENTS
Issue No. 02 - February (vol. 21)
ISSN: 1041-4347
Regular Papers

Learning Image-Text Associations (Abstract)

Ah-Hwee Tan , Nanyang Technological University, Singapore
Tao Jiang , Nanyang Technological University, Singapore
pp. 161-177

Decompositional Rule Extraction from Support Vector Machines by Active Learning (Abstract)

Tony Van Gestel , Dexia Group, Brussels
Bart Baesens , University of Southampton K.U.Leuven, Southampton Leuven
David Martens , K.U.Leuven, Leuven
pp. 178-191

Multiclass MTS for Simultaneous Feature Selection and Classification (Abstract)

Chao-Ton Su , National Tsing Hua University, Hsinchu
Yu-Hsiang Hsiao , National Tsing Hua University, Hsinchu
pp. 192-205

k-Anonymization with Minimal Loss of Information (Abstract)

Tamir Tassa , The Open University of Israel, Ra'anana
Aristides Gionis , Yahoo Research, Barcelona
pp. 206-219

Cost-Based Predictive Spatiotemporal Join (Abstract)

Ralf Rantzau , IBM, San Jose
Wook-Shin Han , Kyungpook National University, Daegu
Jaehwa Kim , Kyungpook National University, Daegu
Yufei Tao , Chinese University of Hong Kong, Hong Kong
Byung Suk Lee , University of Vermont, Burlington
Volker Markl , IBM, San Jose
pp. 220-233

Privacy-Preserving Kth Element Score over Vertically Partitioned Data (Abstract)

Christopher W. Clifton , Purdue University, West Lafayette
Jaideep Vaidya , Rutgers University, Newark
pp. 253-258

Semantic Access to Multichannel M-Services (Abstract)

Athman Bouguettaya , CSIRO, Canberra
Xu Yang , Virginia Tech, Blacksburg
pp. 259-272

Online Scheduling Sequential Objects with Periodicity for Dynamic Information Dissemination (Abstract)

Ming-Syan Chen , National Taiwan University, Taipei
Chih-Lin Hu , National Taiwan University, Taipei
pp. 273-286

Storing and Indexing Spatial Data in P2P Systems (Abstract)

Verena Kantere , National Technical University of Athens, Zografou
Timos Sellis , National Technical University of Athens, Zografou
Spiros Skiadopoulos , University of Peloponnese, Tripoli
pp. 287-300
Call for Papers
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