7. PAKDD 2003:
Seoul,
Korea
Kyu-Young Whang, Jongwoo Jeon, Kyuseok Shim, Jaideep Srivastava (Eds.):
Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings.
Lecture Notes in Computer Science 2637 Springer 2003, ISBN 3-540-04760-3 
@proceedings{DBLP:conf/pakdd/2003,
editor = {Kyu-Young Whang and
Jongwoo Jeon and
Kyuseok Shim and
Jaideep Srivastava},
title = {Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia
Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003,
Proceedings},
booktitle = {PAKDD},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2637},
year = {2003},
isbn = {3-540-04760-3},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Industrial Papers (Invited)
Session 1A:
Stream Mining I
Session 1B:
Graph Mining
Session 1C:
Clustering I
Session 2A:
Text Mining
Session 2B:
Bio Mining
- Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim G. Hoffmann, Johanna I. Westbrook, Tatjana Zrimec:
Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules.
124-135
- N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai:
Predicting Protein Structural Class from Closed Protein Sequences.
136-147
- Tu Minh Phuong, Doheon Lee, Hyung Lee-Kwang:
Learning Rules to Extract Protein Interactions from Biomedical Text.
148-158
- Hyongguen Kim, Jong Park, Kyungsook Han:
Predicting Protein Interactions in Human by Homologous Interactions in Yeast.
159-165
Session 2C:
Web Mining
Session 3A:
Stream Mining II
Session 3B:
Bayesian Networks
Session 3C:
Clustering II
- Yanchang Zhao, Song Junde:
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets.
271-282
- Ickjai Lee, Mary-Anne Williams:
Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus.
283-294
- Jae-Woo Chang:
An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data.
295-300
Session 4A:
Association Rules I
Session 4B:
Semi-structured Data Mining
Session 4C:
Classification I
Session 5A:
Data Analysis
- Li Wei, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey Xu Yu:
HOT: Hypergraph-Based Outlier Test for Categorical Data.
399-410
- Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
A Method for Aggregating Partitions, Applications in K.D.D.
411-422
- Pauline Lienhua Chou, Xiuzhen Zhang:
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding.
423-429
- Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi, Hiroaki Ueda:
Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data.
430-436
Session 5B:
Association Rules II
Session 5C:
Feature Selection
Session 6A:
Stream Mining III
Session 6B:
Clustering III
Session 6C:
Classification II
Copyright © Fri Mar 12 17:19:27 2010
by Michael Ley (ley@uni-trier.de)
