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2. PAKDD 1998: Melbourne, Australia
- Xindong Wu, Kotagiri Ramamohanarao
, Kevin B. Korb:
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings. Lecture Notes in Computer Science 1394, Springer 1998, ISBN 3-540-64383-4
Papers
- David W. Albrecht
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
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
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 - Wojtek 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
Wavelet Transform in Similarity Paradigm. 295-309 - Mehmet R. Tolun
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
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
Constructing Personalized Information Agents. 374-375 - Vincent Cho
Towards Real Time Discovery from Distributed Information Sources. 376-377 - Richard J. Cole II, Peter W. Eklund
Constructing Conceptual Scales in Formal Analysis. 378-379 - David L. Dowe, Lloyd Allison
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
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
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
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