Proceedings of the Third SIAM International Conference on Data Mining

Front Cover
Daniel Barbara, Chandrika Kamath
SIAM, 2003 M01 1 - 347 pages
The third SIAM International Conference on Data Mining provided an open forum for the presentation, discussion and development of innovative algorithms, software and theories for data mining applications and data intensive computation. This volume includes 21 research papers.

From inside the book

Contents

Feature Mining Paradigms for Scientific Data
13
Fast Online SVD Revisions for Lightweight Recommender Systems
37
Hierarchical Document Clustering Using Frequent Itemsets
59
A New Gravitational Clustering Algorithm
83
Communication and Memory Efficient Parallel Decision Tree Construction
119
Contents
137
Approximate Query Answering by Model Averaging
142
Mining Closed Sequential Patterns in Large Datasets
166
Application to Clustering
239
The Application of Text Mining Software to Examine Coded Information
254
The Analysis of Asthma and Exposure Data Using Geographic Information Systems
269
Learning Bayesian Network Structure from Distributed Data
284
Relationship between Users DB and the Web
299
A Highly Adaptive
316
An OutlierBased Data Association Method for Linking Criminal Incidents
326
Mining Temporal Databases for Subsequence Patterns
336

Anytime QueryTuned Kernel Machines via Cholesky Factorization
186
Toward Computational Tractability
203
On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
224

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