DMIN 2007:
Las Vegas, Nevada, USA
Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.):
Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA.
CSREA Press 2007, ISBN 1-60132-031-0 
Time Series Data Mining and Forecasting
Data Mining for Pattern Classification
- Lili Cheng, Jianpei Zhang, Jing Yang, Jun Ma:
Pre-Extracting Boundary Samples for SVM Based on Perpendicular Bisector Distance Method.
31-34
- Gary M. Weiss, Kate McCarthy, Bibi Zabar:
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
35-41
- Albert Hoang:
Using Partial Least Squares in Classification.
42-45
- Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu:
A Fast KNN Algorithm Based on Simulated Annealing.
46-51
- Mohammad Naderi Dehkordi, Mohammad Hassan Shenassa:
Construct Optimal Predictive Classificatoin rules.
52-58
- Cecilia Sönströd, Ulf Johansson, Rikard König:
Towards a Unified View on Concept Description.
59-65
- Alexander Liu, Joydeep Ghosh, Cheryl E. Martin:
Generative Oversampling for Mining Imbalanced Datasets.
66-72
- Rikard König, Ulf Johansson, Lars Niklasson:
Instance Ranking using Ensemble Spread.
73-78
- Scott Pion, Lutz Hamel:
Comparing the Results of Support Vector Machines with Traditional Data Mining Algorithms.
79-83
- Iryna Skrypnyk:
Local Selective Partitioning for Heterogeneous Classification Problems.
84-90
- Xiyi Hang:
On 0-1 Learning.
91-98
Clustering and Segmentation
- Sylvain Mongy, Chabane Djeraba, Dan A. Simovici:
On Clustering Users' Behaviors in Video Sessions.
99-103
- Li-Tung Weng, Yue Xu, Yuefeng Li, Richi Nayak:
A Novel Cluster Center Estimation Algorithm with Hybrid Partitional Clustering.
104-110
- Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Variance-based Clustering Technique for Distributed Data Mining Applications.
111-117
- Danish Irfan, Xiaofei Xu, Shengchun Deng, H. K. Sulehria:
Clustering Approach for Fissuring Forrester's Effect.
118-126
Association Rule Mining
- Dan Singer, David J. Haglin, Anna M. Manning:
Towards Average Case Analysis of Itemset Mining.
127-133
- Sonal Dekhane:
Updating Technique for Association Rules in Incremental Databases.
134-140
- David J. Haglin, Anna M. Manning:
On Minimal Infrequent Itemset Mining.
141-147
- Mohamed Yakout, Alaaeldin M. Hafez, Hussein Aly:
Mining Frequent Itemsets Using Re-Usable Data Structure.
148-155
- Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu:
PSFIT: An Efficient Algorithm for Mining Closed Frequent Patterns.
156-162
- Jérôme Azé, Philippe Lenca, Stéphane Lallich, Benoît Vaillant:
A Study of the Robustness of Association Rules.
163-169
- Archana Raghavendran, John Thomas Selvaraj, Dawood Mohamed Imran:
ITR: An Improved Algorithm For Mining Frequent Itemsets.
170-178
Corporate Data Mining
Behavioral Data Mining
Data Mining in Medical and Biological Applications
- Rohitash Chandra, Christian W. Omlin:
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain.
221-227
- Yifei Chen, Feng Liu, Bernard Manderick:
Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine.
228-234
- Mohammed Essam Khalifa, Taysir Hassan A. Soliman, Huda Amin Maghawry:
Validating HODA with Classical Clustering Techniques using Microarray Gene Expression Data.
235-241
- Xuequn Shang:
A Survey of Frequent Pattern Mining for Biological Datasets.
242-248
- Richard J. Roiger, Mark Miller, Julie Morgan, Faye Hudson:
Treatment Outcome for Patients with Low Back Injuries.
249-255
- Lauren Burrell, Otis Smart, George J. Georgoulas, Eric Marsh, George J. Vachtsevanos:
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG.
256-262
- Angelos Molfetas, George Bryan:
Structurally Evolved Neural Networks for Malignancy Classification.
263-272
Text and Document Mining
Techniques for Privacy Preserving Data Mining
Data Mining Tasks and Applications
- Ahmet Tan, Osman Kandara, Ömer M. Soysal, Helmut Schneider:
Neural Network Based Missing Data Recovery For Crash Database.
331-337
- Anthony J. Grichnik, Michael Seskin:
Dimensionality Reduction and Variable Selection.
338-342
- Touraj Varaee, Mohammad Hassan Shenassa, Amir Masoud Rahmani:
Toward Database Semantic Integration - An Approach Based on Conceptual Schema Inference and Ontology.
343-349
- Haifeng Li, Hong Chen:
A Multiple Level Sequential Pattern Mining Model over Data Stream.
350-343
- Zu Kang, Bong Joon Choi, Kyoo Seok Park:
A Web Mining Usage based on Degree of Concern with Locational Information Contents.
354-358
- Paula Cecilia Fritzsche, Dolores Rexachs, Emilio Luque:
A knowledge-based methodology to predict performance order of data-dependent applications.
359-368
Mining Structural Data
Late Papers
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