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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
Ian Davidson
3
16
VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data
Li Zhang Chun Tang Yong Shi Yuqing Song Aidong Zhang and Murali Ramanathan
19
22
Ensemble-Based Adaptive Intrusion Detection
Wei Fan and Salvatore J. Stolfo
41
18
Instance Selection Techniques for Memory-Based Collaborative Filtering
Kai Yu Xiaowei Xu Jianhua Tao Martin Ester and Hans-Peter Kriegel
59
18
Part II: Mining Large Data Sets
Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance
Ruoming Jin and Gagan Agrawal
77
18
A Data Parallel Approach for Large-Scale Gaussian Process Modeling
Arindam Choudhury Prasanth B. Nair and Andy J. Keane
95
17
Efficient Filtering of Large Dataset-A User Centric Paradigm
Yi Xia Wei Wang Jiong Yang Philip Yu and Richard Muntz
112
16
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out
Peter van der Putten Joost N. Kok and Amar Gupta
128
13
Part III: Mining Sequential and Structured Patterns
On the Optimal Clustering of Sequential Data
Cheng-Ru Lin and Ming-Syan Chen
141
17
Efficient Substructure Discovery from Large Semi-structured Data
Tatsuya Asai Kenji Abe Shinji Kawasoe Hiroki Arimura Hiroshi Sakamoto and Setsuo Arikawa
158
17
Discovering Frequent Substructures from Hierarchical Semi-structured Data
Gao Cong Lan Yi Bing Liu and Ke Wang
175
20
Part IV: Time Series Analysis
Iterative Deepening Dynamic Time Warping for Time Series
Selina Chu Eamonn Keogh David Hart and Michael Pazzani
195
18
Extracting Precursor Rules from Time Series-A Classical Statistical viewpoint
Joao B. D. Cabrera and Raman K. Mehra
213
16
Autoregressive Tree Models for Time-Series Analysis
C. Meek D. M. Chickering and D. Heckerman
229
18
Part V: Support Vector Machine and Neural Networks
Incremental Support Vector Machine Classification
Glenn Fung and Olvi L. Mangasarian
247
14
A Pattern Search Method for Model Selection of Support Vector Regression
Michinari Momma and Kristin P. Bennett
261
14
Explicit Thermodynamic Properties Using Radial Basis Functions Neural Networks
Olivier Adam and Olivier Leonard
275
24
Part VI: Clustering
Cluster Selection in Divisive Clustering Algorithms
Sergio M. Savaresi Daniel L. Boley Sergio Bittanti and Giovanna Gazzaniga
299
16
A Clustering Technique for Mining Data from Text Tables
Hasan Davulcu Saikat Mukherjee and I. V. Ramakrishnan
315
18
On Scaling Up Balanced Clustering Algorithms
Arindam Banerjee and Joydeep Ghosh
333
20
Part VII: Classification and Decision Tables
Efficient Local Flexible Nearest Neighbor Classification
Carlotta Domeniconi and Dimitrios Gunopulos
353
17
Approximate Splitting for Ensembles of Trees Using Histograms
Chandrika Kamath Erick Cantu-Paz and David Littau
370
14
The Power of Second-Order Decision Tables
R. Hewett and J. Leuchner
384
19
Part VIII: Causality Rules and Relation Learning
Mining Relationship between Triggering and Consequential Events in a Short Transaction Database
Chang-Hung Lee Philip S. Yu and Ming-Syan Chen
403
17
Learning Simple Relations: Theory and Applications
Pavel Berkhin and Jonathan D. Becher
420
17
A Framework for Scalable Cost-Sensitive Learning Based on Combing Probabilities and Benefits
Wei Fan Haixun Wang Philip Yu and Sal Stolfo
437
20
Part IX: Mining Frequent Patterns
Charm: An Efficient Algorithm for Closed Itemset Mining
Mohammed J. Zaki and Ching-Jui Hsiao
457
17
Evaluating the Performance of Association Mining Methods in 3-D Medical Image Databases
Vasileios Megalooikonomou
474
20
Mining Frequent Itemsets in Evolving Databases
A.A. Veloso W. Meira, Jr. M. B. de Carvalho B. Possas S. Parthasarathy and M. Javeed Zaki
494
17
Discovering Fully Dependent Patterns
Feng Liang Sheng Ma and Joseph L. Hellerstein
511
20
Part X: Applications
One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation Patterns
O. Nasraoui and R. Krishnapuram
531
17
MedMeSH Summarizer: Text Mining for Gene Clusters
P. Kankar S. Adak A. Sarkar K. Murari and G. Sharma
548
18
Segmented Regression Estimators for Massive Data Sets
Ramesh Natarajan and Edwin Pednault
566
17
Collusion in the U. S. Crop Insurance Program: Applied Data Mining
Bertis B. Little Walter L. Johnston, Jr. Ashley C. Lovell Roderick M. Rejesus and Steve A. Steed
583
16
Author Index
599
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