DMIN 2010:
Las Vegas,
Nevada,
USA
Robert Stahlbock, Sven F. Crone, Mahmoud Abou-Nasr, Hamid R. Arabnia, Nikolaos Kourentzes, Philippe Lenca, Wolfram-Manfred Lippe, Gary M. Weiss (Eds.):
Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA.
CSREA Press 2010, ISBN 1-60132-138-4 
Data Pre-Processing and Sampling
Web and Text Mining
- Tracy D. Lemmond, Nathan Perry, Joseph Guensche, John J. Nitao, Ronald Glaser, Paul Kidwell, William G. Hanley:
Enhanced Named Entity Extraction via Error-Driven Aggregation.
31-37
- Rémi Lavalley, Chloé Clavel, Marc El-Bèze, Patrice Bellot:
Finding Topic-specific Strings in Text Categorization and Opinion Mining Contexts.
38-44
- Anjum Gupta, Craig Martell:
Using and Parsing Wikipedia Articles For Text Classification.
45-50
- Jayalakshmi Jagadeesan, Robert Chun:
A Hybrid Filter Car Recommender System.
51-57
- Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal:
Classifying Independent Medical Examination Reports using SOM Networks.
58-64
- Abdulbaghi Ghaderzadeh, Behrouz Minaie Bidgoli:
Tuning Topical Query Classification in Large Search Engines to Understand Hidden User Information Need.
65-70
- Ahmet Aycan Atak, Sule Gündüz Ögüdücü:
A Framework for Social Spam Detection Based on Relational Bayes Classifier.
71-77
- Ruck Thawonmas, Yoshitaka Kashifuji:
Detection of MMORPG Misconducts Based on Action Frequencies, Types and Time-Intervals.
78-84
Real-World Data Mining Applications,
Challenges,
and Perspectives
- James Ryder, Sen Zhang:
Preliminary Results of Ranking Political Figures Using Naive Bayes Text Classification.
85-91
- Joseph M. Woodside:
A BI 2.0 Application Architecture for Healthcare Data Mining Services in the Cloud.
92-87
- Manju Bala, Namita Aggrawal, R. K. Agrawal:
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM.
98-105
- Peter Sorenson, Leah Macfadyen:
Learner Interaction Monitoring System (LiMS): Capturing the Behaviors of Online Learners and Evaluating Online Training Courses.
106-111
- Michael Zhuravkov, Aleg Kanavalau:
Elaboration of Applied Technologies for Modelling Connected Geomechanical, Geofiltration and Geodynamic Processes in Rock's Massif.
112-118
- Dharmveer Singh Rajput, Pramod K. Singh, Mahua Bhattacharya:
A New Technique For Feature Selection And Cluster Center Initialization.
119-125
- Kevin Daimi, Lu Wang:
Examining Class Dropping with Data Mining.
126-132
- Mahmoud Abou-Nasr:
Predicting Protein Secondary Structure: A Recurrent Neural Network Approach.
133-138
- Xiaochun Jiang, Xiuli Qu, Lauren Davis:
Using Data Mining to Analyze Patient Discharge Data for an Urban Hospital.
139-144
- Fatemeh Hosseinkhah, Hassan Ashktorab, Mohammad Owrang Ojaboni:
Application of Data Mining for Breast Cancer Survivability.
145-150
- Gregory Swan, Anthony Scime:
Winning Baseball Through Data Mining.
151-157
- Zahra Ferdowsi, Raffaella Settimi, Daniela Stan Raicu:
An Application of Clustering Techniques to Urban Studies.
158-164
- Jie Ouyang, Nilesh V. Patel:
Peeling Decision Tree Based on Fisher's Linear Discriminant Analysis.
165-170
- Andrea Villagra, Daniel Pandolfi, Guillermo Leguizamón:
Hybrid PSO Algorithms for Dynamic Clustering.
171-180
- Mary Malliaris, Maria Pappas:
Revenue Generation in Hospital Foundations: Neural Network versus Regression Model Recommendations.
181-186
- Robert Woodley, Warren Noll, Joseph Barker:
Real-time Automatic Building Identification.
187-192
- Binh Luong Thanh, Franco Turini:
Association Analysis of Semi-structured Data for Discrimination Discovery in Business.
193-199
- Miao Wang, Xuequn Shang, Jingni Diao, Zhanhuai Li:
WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset.
200-205
- S. Ram Prasad Reddy, Valli Kumari Vatsavayi, K. V. S. V. N. Raju:
s-Tuple Inclusion - A New Method for Privacy Preserving Publication of Datasets.
206-212
- Armando B. Mendes, Matthias Funk, Luís Cavique:
Knowledge Discovery in the Virtual Social Network Due to Common Knowledge of Proverbs.
213-219
- Satyasaivani Bommakanti, M. Shashi, V. Nagalakshmi, Vikram D.:
Music Databases and Data Mining Approaches.
220-227
- Annemie Vorstermans, Pavol Tanuska, Werner Verschelde, Michal Kebisek:
A Student-Oriented University Ontology.
228-234
Predictive Modelling
- Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vladimir Vapnik:
SMO-Style Algorithms for Learning Using Privileged Information.
235-241
- Xiong Deng, Yike Guo, Moustafa Ghanem:
Learning Ensemble Models on Categorized Datasets.
242-248
- Kristina Davoian, Wolfram-Manfred Lippe:
Solving Classification Problems with the NWEA-evolved ANNs.
249-255
- Iryna Skrypnyk:
Bi-Directional Subspace Decomposition in Classification.
256-266
- Vladimir Cherkassky, Sauptik Dhar:
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models.
267-272
- Nikolaos Kourentzes, Sven F. Crone:
Inference for Neural Network Predictive Models with Impulse Interventions.
273-279
- Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse:
Ensembles of Locally Linear Models: Application to Bankruptcy Prediction.
280-286
- Cristian Rodriguez Rivero, Julian Pucheta, Josef Baumgartner, Hector D. Patiño, B. Kuchen:
An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network.
287-293
- Noorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh, Guang Liu:
Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough Sets.
294-300
- Durga Toshniwal, Mridula Verma:
A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets.
301-307
- Lu Xu, Tommy W. S. Chow:
High Dimensional Data Classification by the PolSOM Algorithm.
308-312
- Casey Bennett, Thomas Doub:
Data Mining and Electronic Health Records: Selecting Optimal Clinical Treatments in Practice.
313-318
- Domingos S. M. P. Salazar, Maíra de O. Santos, Adrian L. Arnaud, Paulo J. L. Adeodato:
Fat Tailed Distribution of Neural Networks Forecasting.
319-326
Segmentation,
Clustering,
Association
- Zhanpan Zhang, Xinping Cui, Daniel R. Jeske, Xiaoxiao Li, Jonathan Braun, James Borneman:
Clustering Scatter Plots Using Data Depth Measures.
327-333
- Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments.
334-342
- Jieh-Shan Yeh, Chia-Hsien Ting:
SP&EPPF: A Novel Algorithm for Sequential Interval-based Pattern Mining.
343-349
- Vemund Jakobsen, Terje Kristensen:
Interactive Clustering of Proteomic Data - a Comparison between Self-Organizing Map and Neural Gas.
350-356
- Chendong Li, Jiayin Wang, Yichen Liu:
Extracting Interesting Patterns of Hard CSPs.
357-363
- Ting-Yu Chen, Jyun Hao Huang:
Application of Clustering in a Hybrid Global Optimization Algorithm.
364-369
- Ryosuke Saga, Chihiro Sugaya, Kodai Kitami:
Extension of Hierarchical Information Acquirement by Association Rule Mining from Semi-Structured Data.
370-374
- Chendong Li, Yichen Liu:
Discovering Latent Healthy Nutritional Dietary Patterns with Association Rule Mining and Constraint Handling Rules.
375-379
- Muhammad Naeem, Sohail Asghar:
A Novel Architecture for Hiding Sensitive Association Rules.
380-385
- Fokrul Alom Mazarbhuiya, Anjana Kakoti Mahanta, Hemanta K. Baruah:
Finding Sequential Patterns from Temporal Datasets.
386-391
- Chérif Mballo, Vladimir Makarenkov:
Using Unsupervised Machine Learning Methods in High-Throughput Screening.
392-395
- Yong Shi, Ali Tavakoli:
A Dimension-wise Algorithm for Multi-dimensional Data.
396-402
Stochastic Resonance,
Classification,
and Indexing
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