2. PAKDD 1998: Melbourne, Australia

Papers

• David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
  Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. 1-12
  
• Sarabjot S. Anand, John G. Hughes:
  Hybrid Data Mining Systems: The Next Generation. 13-24
  
• Sarabjot S. Anand, David W. Patterson, John G. Hughes, David A. Bell:
  Discovering Case Knowledge Using Data Mining. 25-35
  
• Oliver Büchter, Rüdiger Wirth:
  Discovery of Association Rules over Ordinal Data: A New and Faster Algorithm and Its Application to Basket Analysis. 36-47
  
• David Wai-Lok Cheung, Yongqiao Xiao:
  Effect of Data Skewness in Parallel Mining of Association Rules. 48-60
  
• Honghua Dai:
  Trend Directed Learning: A Case Study. 61-71
  
• Guozhu Dong, Jinyan Li:
  Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness. 72-86
  
• David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace:
  Point Estimation Using the Kullback-Leibler Loss Function and MML. 87-95
  
• Russell T. Edwards, David L. Dowe:
  Single Factor Analysis in MML Mixture Modelling. 96-109
  
• Vladimir Estivill-Castro, Alan T. Murray:
  Discovering Associations in Spatial Data - An Efficient Medoid Based Approach. 110-121
  
• Yakov Frayman, Lipo Wang:
  Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks. 122-131
  
• Brett Gray, Maria E. Orlowska:
  CCAIIA: Clustering Categorial Attributed into Interseting Accociation Rules. 132-143
  
• Jiawei Han, Nebojsa Stefanovic, Krzysztof Koperski:
  Selective Materialization: An Efficient Method for Spatial Data Cube Construction. 144-158
  
• Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone:
  Mining Market Basket Data Using Share Measures and Characterized Itemsets. 159-170
  
• Yuichi Iizuka, Hisako Shiohara, Tetsuya Iizuka, Seiji Isobe:
  Automatic Visualization Method for Visual Data Mining. 173-185
  
• W. Kowalczyk, Zdzislaw Piasta:
  Rough-Set Inspired Approach to Knowledge Discovery in Business Databases. 186-197
  
• Marzena Kryszkiewicz:
  Representative Association Rules. 198-209
  
• Huan Liu, Hongjun Lu, Jun Yao:
  Identifying Relevant Databases for Multidatabase Mining. 210-221
  
• Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace:
  Minimum Message Length Segmentation. 222-233
  
• Gerhard Paass, Jörg Kindermann:
  Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. 234-245
  
• Patrick Perrin, Frederick E. Petry:
  Contextual Text Representation for Unsupervised Discovery in Texts. 246-257
  
• Arnaud Ragel, Bruno Crémilleux:
  Treatment of Missing Values for Association Rules. 258-270
  
• Buh-Yun Sher, Shin-Chung Shao, Wen-Shyong Hsieh:
  Mining Regression Rules and Regression Trees. 271-282
  
• Takahiko Shintani, Masaru Kitsuregawa:
  Mining Algorithms for Sequential Patterns in Parallel: Hash Based Approach. 283-294
  
• Zbigniew R. Struzik, Arno Siebes:
  Wavelet Transform in Similarity Paradigm. 295-309
  
• Mehmet R. Tolun, Hayri Sever, Mahmut Uludag:
  Improved Rule Discovery Performance on Uncertainty. 310-321
  
• Olivier Y. de Vel, Danny Coomans, S. Patrick:
  Feature Mining and Mapping of Collinear Data. 322-335
  
• John Zeleznikow, Andrew Stranieri:
  Knowledge Discovery in Discretionary Legal Domains. 336-347
  
• Zijian Zheng:
  Scaling Up the Rule Generation of C4.5. 348-359
  
• Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
  Data Mining Based on the Generalization Distribution Table and Rough Sets. 360-373
  

Posters

• Chia-Hui Chang, Ching-Chi Hsu:
  Constructing Personalized Information Agents. 374-375
  
• Vincent Cho, Beat Wüthrich:
  Towards Real Time Discovery from Distributed Information Sources. 376-377
  
• Richard J. Cole II, Peter W. Eklund, Don Walker:
  Constructing Conceptual Scales in Formal Analysis. 378-379
  
• David L. Dowe, Lloyd Allison, Glen Pringle:
  The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines. 380-382
  
• K. M. Ho, Paul D. Scott:
  An Efficient Global Discretization Method. 383-384
  
• François Jacquenet, Patrice Brenot:
  Learning User Preferences on the WEB. 385-387
  
• Ilona Jagielska:
  Using Rough Sets for Knowledge Discovery in the Development of a Decision Support System for Issuing Smog Alerts. 388-389
  
• Takamasa Koshizen, Hiroaki Ogawa, John Fulcher:
  Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map. 390-391
  
• Deyi Li, Kaichang Di, Deren Li, Xuemei Shi:
  Mining Association Rules with Linguistic Cloud Models. 392-393
  
• Ye Liu, Hanxiong Chen, Jeffrey Xu Yu, Nobuo Ohbo:
  A Data Mining Approach for Query Refinement. 394-396
  
• Ying Lu, Huan Liu, Chew Lim Tan:
  CFMD: A Conflict-Free Multivariate Discretization Algorithm. 397-398
  
• Akira Maeda, Hideyuki Maki, Hiroyuji Akimori: Characteristic Rule Induction Algorithm for Data Mining. 399-400
• Michael K. Ng, Zhexue Huang, Markus Hegland:
  Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. 401-402
  
• Chris Nowak:
  Multiple Databases, Partial Reasoning, and Knowledge Discovery. 403-404
  
• Carlos Montes de Oca, Doris L. Carver:
  Design Recovery with Data Mining Techniques. 405-406
  
• Adrian R. Pearce, Terry Caelli:
  The CLARET Algorithm. 407-408
  
• Christine L. Tsien, Hamish S. F. Fraser, Isaac S. Kohane:
  LRTree: A Hybrid technique for Classifying Myocardial Infarction Data Containing Unknown Attribute Values. 409-411
  
• Geert Wets, Jan Vanthienen, Harry J. P. Timmermans:
  Modelling Decision Tables from Data. 412-413
  
• Michalis Vazirgiannis:
  A Classification and Relationship Extraction Scheme for Raltional Databases Based on Fuzzy Logic. 414-416
  
• Takashi Washio, Hiroshi Motoda:
  Mining Association Rules for Estimation and Prediction. 417-419
  
• Hanhong Xue, Qingsheng Cai:
  Rule Generalization by Condition Combination. 420-421
  

Last update Sun May 19 23:24:13 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page