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ORCID5. PAKDD 2001: Hong Kong, China
- David Wai-Lok Cheung, Graham J. Williams, Qing Li:
Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings. Lecture Notes in Computer Science 2035, Springer 2001, ISBN 3-540-41910-1
Keynote Presentations
- H. V. Jagadish:
Incompleteness in Data Mining. 1 - Ron Kohavi:
Mining E-Commerce Data: The Good, the Bad, and the Ugly. 2 - Hongjun Lu:
Seamless Integration of Data Mining with DBMS and Applications. 3
Web Mining
- Chia-Hui Chang
, Shao-Chen Lui, Yen-Chin Wu:
Applying Pattern Mining to Web Information Extraction. 4-16 - Vijay S. Iyengar, Tong Zhang:
Empirical Study of Recommender Systems Using Linear Classifiers. 16-27 - Raymond S. T. Lee, James N. K. Liu:
iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping. 28-40 - Yao-Tsung Lin, Shian-Shyong Tseng:
A Characterized Rating Recommend System. 41-46 - Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents. 47-52
Text Mining
- Eui-Hong Han, George Karypis, Vipin Kumar:
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. 53-65 - Ah-Hwee Tan:
Predictive Self-Organizing Networks for Text Categorization. 66-77 - Kwok-Yin Lai, Wai Lam:
Meta-learning Models for Automatic Textual Document Categorization. 78-89 - Chi-Yuen Ng, Joseph Lee, Felix Cheung, Ben Kao, David Wai-Lok Cheung:
Efficient Algorithms for Concept Space Construction. 90-101 - Kanagasabai Rajaraman, Ah-Hwee Tan:
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. 102-107 - Hsin-Chang Yang, Chung-Hong Lee:
Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps. 108-113
Applications and Tools
- Boon Toh Low, Ki Chan, Lei-Lei Choi, Man-Yee Chin, Sin-Ling Lay:
Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis. 114-123 - Ole Møller Nielsen, Peter Christen, Markus Hegland, Tatiana Semenova, Timothy Hancock:
A Toolbox Approach to Flexible and Efficient Data Mining. 124-135 - Andrew Turpin, Eibe Frank, Mark A. Hall, Ian H. Witten, Chris A. Johnson:
Determining Progression in Glaucoma Using Visual Fields. 136-147 - Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson:
Seabreeze Prediction Using Bayesian Networks. 148-153 - Chun Hung Li, Pong Chi Yuen:
Semi-supervised Learning in Medical Image Database. 154-160 - Feng-Hsu Wang, Shiou-Wen Hung:
On Application of Rough Data Mining Methods to Automatic Construction of Student Models. 161-166
Concept Hierarchies
- Keyun Hu, Yuefei Sui, Yuchang Lu, Ju Wang, Chunyi Shi:
Concept Approximation in Concept Lattice. 167-173 - Tsau Young Lin:
Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data. 174-185 - Yanee Kachai, Kitsana Waiyamai:
Representing Large Concept Hierarchies Using Lattice Data Structure. 186-197
Feature Selection
- Rohan A. Baxter, Graham J. Williams, Hongxing He:
Feature Selection for Temporal Health Records. 198-209 - Shlomo Geva:
Boosting the Performance of Nearest Neighbour Methods with Feature Selection. 210-221 - Alexandros Kalousis, Melanie Hilario:
Feature Selection for Meta-learning. 222-233
Interestingness
- Guozhu Dong, Kaustubh Deshpande:
Efficient Mining of Niches and Set Routines. 234-246 - Robert J. Hilderman, Howard J. Hamilton:
Evaluation of Interestingness Measures for Ranking Discovered Knowledge. 247-259 - Ning Zhong, Muneaki Ohshima, Setsuo Ohsuga:
Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data. 260-269
Sequence Mining
- Zhenyu Liu, Wesley W. Chu, Adam Huang, Chris Folk, Chih-Ming Ho:
Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control. 270-281 - Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz:
Scalable Hierarchical Clustering Method for Sequences of Categorical Values. 282-293 - Minghua Zhang, Ben Kao, Chi Lap Yip, David Wai-Lok Cheung:
FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences. 294-305 - Maciej Zakrzewicz:
Sequential Index Structure for Content-Based Retrieval. 306-311
Spatial and Temporal Mining
- Haixun Wang, Chang-Shing Perng:
The S2-Tree : An Index Structure for Subsequence Matching of Spatial Objects. 312-323 - Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams:
Temporal Data Mining Using Hidden Markov-Local Polynomial Models. 324-335 - Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang:
Patterns Discovery Based on Time-Series Decomposition. 336-347 - Vladimir Estivill-Castro, Ickjai Lee, Alan T. Murray:
Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering. 348-357 - Xiaoming Jin, Yuchang Lu, Chunyi Shi:
Micro Similarity Queries in Time Series Database. 358-363
Association Mining
- Jiuyong Li, Hong Shen, Rodney W. Topor:
Mining Optimal Class Association Rule Set. 364-375 - Fan-Chen Tseng, Ching-Chi Hsu:
Generating Frequent Patterns with the Frequent Pattern List. 376-386 - Ke Wang, Yu He:
User-Defined Association Mining. 387-399 - Marzena Kryszkiewicz:
Direct and Incremental Computing of Maximal Covering Rules. 400-405 - Jiming Liu, Jian Yin:
Towards Efficient Data Re-mining (DRM). 406-412 - Anna M. Manning, John A. Keane:
Data Allocation Algorithm for Parallel Association Rule Discovery. 413-420
Classification and Rule Induction
- Pedro de Almeida:
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm. 421-432 - Chun Hung Cheng, Jian Tang, Ada Wai-Chee Fu, Irwin King:
Hierarchical Classification of Documents with Error Control. 433-443 - Claudia Diamantini, Maurizio Panti:
An Efficient Data Compression Approach to the Classification Task. 444-454 - Jinyan Li, Kotagiri Ramamohanarao, Guozhu Dong:
Combining the Strength of Pattern Frequency and Distance for Classification. 455-466 - Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees. 467-476 - Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby:
Optimizing the Induction of Alternating Decision Trees. 477-487 - Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao:
Building Behaviour Knowledge Space to Make Classification Decision. 488-494
Clustering
- Manoranjan Dash, Huan Liu:
Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions. 495-506 - Shoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto:
A Rough Set-Based Clustering Method with Modification of Equivalence Relations. 507-512 - Juha Vesanto:
Importance of Individual Variables in the k -Means Algorithm. 513-518 - Aoying Zhou, Weining Qian, Hailei Qian, Wen Jin, Shuigeng Zhou, Ye Fan:
A Hybrid Approach to Clustering in Very Large Databases. 519-524
Advanced Topics and New Methods
- Wei-Chou Chen, Shian-Shyong Tseng, Lu-Ping Chang, Mon-Fong Jiang:
A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method. 525-537 - DaeEun Kim, Jaeho Lee:
Rule Reduction over Numerical Attributes in Decision Tree Using Multilayer Perceptron. 538-549 - Takuya Wada, Hiroshi Motoda, Takashi Washio:
Knowledge Acquisition from Both Human Expert and Data. 550-561 - Renaud Bassée, Jef Wijsen:
Neighborhood Dependencies for Prediction. 562-567 - Fengzhan Tian, Yuchang Lu, Chunyi Shi:
Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms. 568-574 - Jianchao Han, Nick Cercone:
Interactive Construction of Decision Trees. 575-580 - Huajie Zhang, Charles X. Ling:
An Improved Learning Algorithm for Augmented Naive Bayes. 581-586 - Liviu Vladutu, Stergios Papadimitriou, Seferina Mavroudi, Anastasios Bezerianos:
Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. 587-594
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