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Tables of Contents for Proceedings of the Second Siam International Conference on Data Mining
Chapter/Section Title
Page #
Page Count
Preface
xi
Part I: Visualization and Applications
Visualizing Clustering Results
3
16
VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data
19
22
Ensemble-Based Adaptive Intrusion Detection
41
18
Instance Selection Techniques for Memory-Based Collaborative Filtering
59
18
Part II: Mining Large Data Sets
Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance
77
18
A Data Parallel Approach for Large-Scale Gaussian Process Modeling
95
17
Efficient Filtering of Large Dataset-A User Centric Paradigm
112
16
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out
128
13
Part III: Mining Sequential and Structured Patterns
On the Optimal Clustering of Sequential Data
141
17
Efficient Substructure Discovery from Large Semi-structured Data
158
17
Discovering Frequent Substructures from Hierarchical Semi-structured Data
175
20
Part IV: Time Series Analysis
Iterative Deepening Dynamic Time Warping for Time Series
195
18
Extracting Precursor Rules from Time Series-A Classical Statistical viewpoint
213
16
Autoregressive Tree Models for Time-Series Analysis
229
18
Part V: Support Vector Machine and Neural Networks
Incremental Support Vector Machine Classification
247
14
A Pattern Search Method for Model Selection of Support Vector Regression
261
14
Explicit Thermodynamic Properties Using Radial Basis Functions Neural Networks
275
24
Part VI: Clustering
Cluster Selection in Divisive Clustering Algorithms
299
16
A Clustering Technique for Mining Data from Text Tables
315
18
On Scaling Up Balanced Clustering Algorithms
333
20
Part VII: Classification and Decision Tables
Efficient Local Flexible Nearest Neighbor Classification
353
17
Approximate Splitting for Ensembles of Trees Using Histograms
370
14
The Power of Second-Order Decision Tables
384
19
Part VIII: Causality Rules and Relation Learning
Mining Relationship between Triggering and Consequential Events in a Short Transaction Database
403
17
Learning Simple Relations: Theory and Applications
420
17
A Framework for Scalable Cost-Sensitive Learning Based on Combing Probabilities and Benefits
437
20
Part IX: Mining Frequent Patterns
Charm: An Efficient Algorithm for Closed Itemset Mining
457
17
Evaluating the Performance of Association Mining Methods in 3-D Medical Image Databases
474
20
Mining Frequent Itemsets in Evolving Databases
494
17
Discovering Fully Dependent Patterns
511
20
Part X: Applications
One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation Patterns
531
17
MedMeSH Summarizer: Text Mining for Gene Clusters
548
18
Segmented Regression Estimators for Massive Data Sets
566
17
Collusion in the U. S. Crop Insurance Program: Applied Data Mining
583
16
Author Index
599