5. PAKDD 2001:
Hong Kong,
China
David Wai-Lok Cheung, Graham J. Williams, Qing Li (Eds.):
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 
@proceedings{DBLP:conf/pakdd/2001,
editor = {David Wai-Lok Cheung and
Graham J. Williams and
Qing Li},
title = {Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia
Conference, Hong Kong, China, April 16-18, 2001, Proceedings},
booktitle = {PAKDD},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2035},
year = {2001},
isbn = {3-540-41910-1},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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
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 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
Feature Selection
Interestingness
Sequence Mining
Spatial and Temporal Mining
Association Mining
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
Copyright © Fri Mar 12 17:19:27 2010
by Michael Ley (ley@uni-trier.de)
