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ORCID3. PAKDD 1999: Beijing, China
- Ning Zhong, Lizhu Zhou:
Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings. Lecture Notes in Computer Science 1574, Springer 1999, ISBN 3-540-65866-1
Invited Talks
- Won Kim:
KDD as an Enterprise IT Tool: Reality and Agenda (Abstract). 1 - Hiroshi Motoda:
Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). 2
Emerging KDD Technology
- Zdzislaw Pawlak:
Data Mining - a Rough Set Perspective. 3-12 - Charu C. Aggarwal, Philip S. Yu:
Data Mining Techniques for Associations, Clustering and Classification. 13-23 - Tsau Young Lin:
Data Mining: Granular Computing Approach. 24-33 - Hiroshi Tsukimoto:
Rule Extraction from Prediction Models. 34-43
Association Rules
- Xiaoyong Du, Zhibin Liu, Naohiro Ishii:
Mining Association Rules on Related Numeric Attributes. 44-53 - Chi Lap Yip, K. K. Loo, Ben Kao, David Wai-Lok Cheung, C. K. Cheng:
LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining. 54-63 - Karthick Rajamani, Sam Yuan Sung, Alan L. Cox:
Extending the Applicability of Association Rules. 64-73 - Pauray S. M. Tsai, Chih-Chong Lee, Arbee L. P. Chen:
An Efficient Approach for Incremental Association Rule Mining. 74-83 - Marzena Kryszkiewicz:
Association Rules in Incomplete Databases. 84-93 - Iko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa:
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation. 94-98 - Yuping Yang, Mukesh Singhal:
H-Rule Mining in Heterogeneous Databases. 99-103 - Aoying Zhou, Shuigeng Zhou, Wen Jin, Zengping Tian:
An Improved Definition of Multidimensional Inter-transaction Association Rule. 104-108 - Keyun Hu, Yuchang Lu, Chunyi Shi:
Incremental Discovering Association Rules: A Concept Lattice Approach. 109-113
Feature Selection and Generation
- Xindong Wu:
Induction as Pre-processing. 114-122 - Zijian Zheng, Geoffrey I. Webb:
Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. 123-132 - Yiyu Yao, S. K. Michael Wong, Cory J. Butz:
On Information-Theoretic Measures of Attribute Importance. 133-137 - Kee-Cheol Lee:
A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information. 138-142 - Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda:
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. 143-147
Mining in Semi, Un-structured Data
- Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann:
An Algorithm for Constrained Association Rule Mining in Semi-structured Data. 148-158 - Aoying Zhou, Wen Jin, Shuigeng Zhou, Zengping Tian:
Incremental Mining of Schema for Semistructured Data. 159-168 - Mon-Fong Jiang, Shian-Shyong Tseng, Chang-Jiun Tsai:
Discovering Structure from Document Databases. 169-173 - Vincent Cho
, Beat Wüthrich:
Combining Forecasts from Multiple Textual Data Sources. 174-178 - Xiaofeng Meng, Yong Zhou, Shan Wang:
Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql. 179-183
Interestingness, Surprisingness, and Exceptions
- Graham J. Williams:
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries. 184-193 - Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain:
Efficient Search of Reliable Exceptions. 194-203 - Robert J. Hilderman, Howard J. Hamilton:
Heuristic for Ranking the Interestigness of Discovered Knowledge. 204-209
Rough Sets, Fuzzy Logic, and Neural Networks
- Shusaku Tsumoto:
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion. 210-219 - Zongtian Liu, Zhipeng Xie:
Discernibility System in Rough Sets. 220-227 - Andreas Rauber, Dieter Merkl:
Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets. 228-237 - Ling Zhang, Bo Zhang:
Neural Network Based Classifers for a Vast Amount of Data. 238-246 - Hércules Antônio do Prado, Karla F. Machado, Sandra R. Frigeri, Paulo Martins Engel:
Accuracy Tuning on Combinatorial Neural Model. 247-251 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
A Situated Information Articulation Neural Network: VSF Network. 252-257 - Chao Deng, Fanlun Xiong:
Neural Method for Detection of Complex Patterns in Databases. 258-262 - Xuemei Shi, Man-chung Chan, Deyi Li:
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment. 263-267 - Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, Hidenori Itoh:
An Induction Algorithm Based on Fuzzy Logic Programming. 268-273 - Shusaku Tsumoto:
Rule Discovery in Databases with Missing Values Based on Rough Set Model. 274-278 - Xuefei Wang, Rusong Wang, Jue Wang:
Sustainability Knowledge Mining from Human Development Database. 279-283
Induction, Classification, and Clustering
- Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Characterization of Default Knowledge in Ripple Down Rules Method. 284-295 - Kai Ming Ting, Zijian Zheng:
Improving the Performance of Boosting for Naive Bayesian Classification. 296-305 - Douglas A. Newlands, Geoffrey I. Webb:
Convex Hulls in Concept Induction. 306-316 - Jianhua Fan, Deyi Li:
Mining Classification Knowledge Based on Cloud Models. 317-326 - Vladimir Estivill-Castro, Michael E. Houle:
Robust Clustering of Large Geo-referenced Data Sets. 327-337 - Bo Zhou, David Wai-Lok Cheung, Ben Kao:
A Fast Algorithm for Density-Based Clustering in Large Database. 338-349 - Gabor Melli:
A Lazy Model-Based Algorithm for On-Line Classification. 350-354 - Khaled Alsabti, Sanjay Ranka, Vineet Singh:
An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering. 355-359 - Chih-Ming Su, Shian-Shyong Tseng, Mon-Fong Jiang, Joe C. S. Chen:
A Fast Clustering Process for Outliers and Remainder Clusters. 360-364 - Hongxing He, Simon Hawkins:
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem. 365-369 - Zijian Zheng, Boon Toh Low:
Classifying Unseen Cases with Many Missing Values. 370-374 - Tu Bao Ho, Ngoc Binh Nguyen, Takafumi Morita:
Study of a Mixed Similarity Measure for Classification and Clustering. 375-379
Visualization
- Bing Liu, Wynne Hsu, Ke Wang, Shu Chen:
Visually Aided Exploration of Interesting Association Rules. 380-389 - Jianchao Han, Nick Cercone:
DVIZ: A System for Visualizing Data Mining. 390-399
Causal Model and Graph-Based Methods
- Honghua Dai:
A Minimal Causal Model Learner. 400-408 - K. L. Lee, Guanling Lee, Arbee L. P. Chen:
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases. 409-419 - Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai:
Basket Analysis for Graph Structured Data. 420-431 - Julian R. Neil, Kevin B. Korb:
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. 432-437 - Tetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tasuya Yamamoto, Kenichi Takahashi, Hiroaki Ueda:
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System. 438-442
Agent-Based, and Distributed Data Mining
- Yike Guo, Janjao Sutiwaraphun:
Probing Knowledge in Distributed Data Mining. 443-452 - Zbigniew W. Ras, Jan M. Zytkow:
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases. 453-463 - Djamel A. Zighed, Myriam Côté, Nader Troudi:
The Data-Mining and the Technology af Agents to Fight the Illicit Electronic Messages. 464-468 - Hongen Lu, Leon Sterling, Alex Wyatt:
Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web. 469-473 - Louis Perrochon, Walter Mann, Stephane Kasriel, David C. Luckham:
Event Mining with Event Processing Networks. 474-478
Advanced Topics and New Methodologies
- Yiyu Yao, Ning Zhong:
An Analysis of Quantitative Measures Associated with Rules. 479-488 - Jingde Cheng:
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery (Extended Abstract). 489-493 - Tetsuya Yoshida, Teruyuki Kondo, Shogo Nishida:
Discovering Conceptual Differences among Different People via Diverse Structures. 494-498 - Oscar Ortega Lobo, Masayuki Numao:
Ordered Estimation of Missing Values. 499-503 - Einoshin Suzuki, Toru Ohno:
Prediction Rule Discovery Based on Dynamic Bias Selection. 504-508 - Aijun An, Nick Cercone:
Discretization of Continuous Attributes for Learning Classification Rules. 509-514 - Sadok Ben Yahia, Ali Jaoua:
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases. 515-519 - Xiaopeng Tao, Ning Wang, Shuigeng Zhou, Aoying Zhou, Yunfa Hu:
Mining Functional Dependency Rule of Relational Database. 520-524 - Rong Jiang, Deyi Li, Hui Chen:
Time-Series Prediction with Cloud Models in DMKD. 525-529
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