2. SDM 2002:
Arlington,
VA,
USA
Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani (Eds.):
Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002.
SIAM 2002, ISBN 0-89871-517-2 BibTeX
@proceedings{DBLP:conf/sdm/2002,
editor = {Robert L. Grossman and
Jiawei Han and
Vipin Kumar and
Heikki Mannila and
Rajeev Motwani},
title = {Proceedings of the Second SIAM International Conference on Data
Mining, Arlington, VA, USA, April 11-13, 2002},
booktitle = {SDM},
publisher = {SIAM},
year = {2002},
isbn = {0-89871-517-2},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Part I:
Visualization and Applications
- Ian Davidson:
Visualizing Clustering Results.
Electronic Edition (link) BibTeX
- Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan:
VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data.
Electronic Edition (link) BibTeX
- Wei Fan, Salvatore J. Stolfo:
Ensemble-based Adaptive Intrusion Detection.
Electronic Edition (link) BibTeX
- Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel:
Instance Selection Techniques for Memory-based Collaborative Filtering.
Electronic Edition (link) BibTeX
Part II:
Mining Large Data Sets
- Ruoming Jin, Gagan Agrawal:
Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance.
Electronic Edition (link) BibTeX
- Arindam Choudhury, Prasanth B. Nair, Andy J. Keane:
A Data Parallel Approach for Large-Scale Gaussian Process Modeling.
Electronic Edition (link) BibTeX
- Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz:
Efficient Filtering of Large DatasetA User-Centric Paradigm.
Electronic Edition (link) BibTeX
- Peter van der Putten, Joost N. Kok, Amar Gupta:
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out.
Electronic Edition (link) BibTeX
Part III:
Mining Sequential and Structured Patterns
Part IV:
Time Series Analysis
Part V:
Support Vector Machine and Neural Networks
Part VI:
Clustering
Part VII:
Classification and Decision Tables
Part VIII:
Causality Rules and Relation Learning
Part IX:
Mining Frequent Patterns
Part X:
Applications
- Olfa Nasraoui, Raghu Krishnapuram:
One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation Patterns.
Electronic Edition (link) BibTeX
- Pankaj Kankar, Sudeshna Adak, A. Sarkar, K. Murali, Gaurav Sharma:
MedMeSH Summarizer: Text Mining for Gene Clusters.
Electronic Edition (link) BibTeX
- Ramesh Natarajan, Edwin P. D. Pednault:
Segmented Regression Estimators for Massive Data Sets.
Electronic Edition (link) BibTeX
- Bertis B. Little, Walter L. Johnston, Ashley C. Lovell, Roderick M. Rejesus, Steve A. Steed:
Collusion in the U. S. Crop Insurance Program: Applied Data Mining.
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:37:11 2009
by Michael Ley (ley@uni-trier.de)