DMIN 2006:
Las Vegas, Nevada, USA
Sven F. Crone, Stefan Lessmann, Robert Stahlbock (Eds.):
Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006.
CSREA Press 2006, ISBN 1-60132-004-3 
Time Series Forecasting and Clustering
- Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng:
Financial Time Series Segmentation based on Specialized Binary Tree Representation.
3-9
- Rémi Gaudin, Sylvaine Barbier, Nicolas Nicoloyannis, Maks Banens:
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data.
10-16
- Chamila Walgampaya, Mehmed M. Kantardzic:
Cost-Sensitive Analysis in Multiple Time Series Prediction.
17-23
- R. Pradeep Kumar, P. Nagabhushan:
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization.
24-29
- Jo Ting, Tak-Chung Fu, Fu-Lai Chung:
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification.
30-36
- Sven F. Crone, Jose Guajardo, Richard Weber:
The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction.
37-44
Data Mining for Computational Intelligence
Text and Document Classification
Association Rule Mining
- Alina Campan, Gabriela Serban, Traian Marius Truta, Andrian Marcus:
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules.
107-113
- Sebastian Haehnel, Johannes Hauf, Thomas Kudrass:
Design of a data mining framework to mine generalized association rules in a web-based GIS.
114-117
- Rayner Alfred, Dimitar Kazakov:
Pattern-Based Transformation Approach to Relational Domain Learning Using Dynamic Aggregation for Relational Attributes.
118-124
- Nuansri Denwattana, Yutthana Treewai:
Discovering of Frequent Itemsets with CP-mine Algorithm.
125-131
- Benoît Vaillant, Stéphane Lallich, Philippe Lenca:
Modeling of the counter-examples and association rules interestingness measures behavior.
132-137
- Yanmin Sun, Andrew K. C. Wong, Yang Wang:
An Overview of Associative Classifiers.
138-143
- Qin Ding, Gnanasekaran Sundarraj:
Association Rule Mining from XML Data.
144-152
Data Pre-Processing and Preparations
Novelty and Outlier Detection
- Junping Sun, William Sverdlik, Samir Tout:
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID).
197-203
- Genadiy Burlak, Jaime Muñoz, Alberto Ochoa, José Alberto Hernández:
Detecting Cheats In Online Student Assessments Using Data Mining.
204-210
- Ying Xie, Manmathasivaram Nagarajan, Vijay V. Raghavan, Hisham Haddad:
On Novelty Evaluation of Potentially Useful Patterns.
211-217
- Chichang Jou:
Mining Complete Hybrid Sequential Patterns.
218-223
- Pedro A. Ortega, Cristián J. Figueroa, Gonzalo A. Ruz:
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile.
224-231
- Qi Chen, Uwe Aickelin:
Anomaly Detection Using the Dempster-Shafer Method.
232-240
Data Mining Applications
- Jihong Yan:
Discovering Assignment Rules in Workforce Schedules Using Data Mining.
241-245
- Jianjie Ma, Krishnamoorthy Sivakumar:
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data.
246-252
- Gondy Leroy, Annika Irmscher, Marjorie H. Charlop-Christy, Sarah Kuriakose, Alefiyah Pishori, Lorryana Wurzman, Aria Ash-Rafzadeh, Michelle Seffrood, Stephanie Buxton:
Data Mining Techniques to Study Therapy Success with Autistic Children.
253-259
- Xiaoguang Hong, Juan Chu:
Application of data warehouse technology in power analysis.
260-266
Workshop - Application of Data Mining to Security Control
- Bon Sy:
2006 International Workshop on the Application of Data Mining to Security Control: Foreword.
267-268
- Songjie Wei, Jelena Mirkovic, Ezra Kissel:
Profiling and Clustering Internet Hosts.
269-275
- Françoise Fessant, Fabrice Clérot:
An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs.
276-282
- Bon Sy, Negmat Mullodzhanov:
Extracting Forensic Explanation from Intrusion Alerts.
283-289
- S. Srinivasa Rao, K. V. S. V. N. Raju, P. Kusuma Kumari:
Privacy Preserving in Clustering using Fuzzy Sets.
290-295
- Nasrullah Memon, Henrik Legind Larsen:
Structural Analysis and Destabilizing Terrorist Networks.
296-302
- Kyung-Sang Sung, Jung-Jae Kim, Moon-Seog Jun, Hae-Seok Oh:
Digital Video WaterMarking System Using Audio Information of Image Discrete Frequency on Improved Security Through Pre-Preocessing.
303-308
- Negmat Mullodzhanov:
Novel Evaluation Framework of Intrusion Detection Systems with Respect to Security Policies.
309-316
Special Purpose Data Mining
Classification and Clustering in Data Mining
- András Kocsor:
The Kernel Topological Machine.
349-352
- Shuchita Upadhyaya, Alka Arora, Rajni Jain:
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis.
353-356
- Xuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Robert W. Harrison:
Feature Similarity Based Redundancy Reduction for Gene Selection.
357-360
- Qiang Ye, Paul W. Munro:
Ensemble Selection Using Diversity Networks.
361-363
- Casey Bartman, Jamal R. Alsabbagh:
Reverse Tree Clustering.
364-367
- Alberto Ochoa, Amol Wagholikar:
Use of Data Mining to Determine Cheating in Online Student Assessment.
368-371
- Hyontai Sug:
Class Selection Avoiding Key-like Property for Better Precise Rules.
372-375
- Ye-Li Li, Ya-Li Qi:
Research on Classification of Printing Fault Using Support Vector Machines.
376-382
Late Papers
- Luong Trung Tuan, Suet Peng Yong:
A Fuzzy Neural Based Data Classification System.
383-388
- Janaki Gopalan, Reda Alhajj, Ken Barker:
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm.
389-395
- Sven F. Crone, Stefan Lessmann, Swantje Pietsch:
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting.
396-402
- Anthony J. Bagnall, Ian Whittley, Gareth J. Janacek, Kate Kemsley, Matthew Studley, Larry Bull:
A Comparison of DWT/PAA and DFT for Time Series Classification.
403-409
- Xuemei Xiong, Yiming Wang, Xiaochao Zhang:
Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection.
410-413
- Xin Jin, Rongfang Bie:
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination.
414-417
- Yu-Chih Shen, Jia-Lien Hsu, Shuk-Chun Chung:
MF-tree: Extracting and Clustering the Structural Features from Music Object in MusicXML.
418-424
- Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell:
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents.
425-431
- Ashkan Zarnani, Masoud Rahgozar, Caro Lucas:
Efficient Discovery of Knowledge from Large Geo-Spatial Databases: An Evolutionary Approach.
432-
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