Table of Contents

• SIPPA for Biometric Data ReconstructionBon Sy. 3-9
• An Effective Entity Resolution MethodChuan Zhao, Krishnamoorthy Sivakumar. 10-16
• An Approach for Learning from Small and Unbalanced Data Sets Using Gaussian Noise During Artificial Neural Network TrainingIcamaan Viegas, Paulo J. L. Adeodato. 23-30
• Enhanced Named Entity Extraction via Error-Driven AggregationTracy D. Lemmond, Nathan Perry, Joseph Guensche, John J. Nitao, Ronald Glaser, Paul Kidwell, William G. Hanley. 31-37
• Finding Topic-specific Strings in Text Categorization and Opinion Mining ContextsRémi Lavalley, Chloé Clavel, Marc El-Bèze, Patrice Bellot. 38-44
• Using and Parsing Wikipedia Articles For Text ClassificationAnjum Gupta, Craig Martell. 45-50
• A Hybrid Filter Car Recommender SystemJayalakshmi Jagadeesan, Robert Chun. 51-57
• Classifying Independent Medical Examination Reports using SOM NetworksYinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal. 58-64
• Tuning Topical Query Classification in Large Search Engines to Understand Hidden User Information NeedAbdulbaghi Ghaderzadeh, Behrouz Minaei-Bidgoli. 65-70
• A Framework for Social Spam Detection Based on Relational Bayes ClassifierAhmet Aycan Atak, Sule Gündüz Ögüdücü. 71-77
• Detection of MMORPG Misconducts Based on Action Frequencies, Types and Time-IntervalsRuck Thawonmas, Yoshitaka Kashifuji. 78-84
• Preliminary Results of Ranking Political Figures Using Naive Bayes Text ClassificationJames Ryder, Sen Zhang. 85-91
• A BI 2.0 Application Architecture for Healthcare Data Mining Services in the CloudJoseph M. Woodside. 92-87
• Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVMManju Bala, Namita Aggrawal, R. K. Agrawal. 98-105
• Learner Interaction Monitoring System (LiMS): Capturing the Behaviors of Online Learners and Evaluating Online Training CoursesPeter Sorenson, Leah Macfadyen. 106-111
• A New Technique For Feature Selection And Cluster Center InitializationDharmveer Singh Rajoot, Pramod K. Singh, Mahua Bhattacharya. 119-125
• Examining Class Dropping with Data MiningKevin Daimi, Lu Wang. 126-132
• Predicting Protein Secondary Structure: A Recurrent Neural Network ApproachMahmoud Abou-Nasr. 133-138
• Using Data Mining to Analyze Patient Discharge Data for an Urban HospitalXiaochun Jiang, Xiuli Qu, Lauren Davis. 139-144
• Application of Data Mining for Breast Cancer SurvivabilityFatemeh Hosseinkhah, Hassan Ashktorab, Mohammad Owrang Ojaboni. 145-150
• Winning Baseball Through Data MiningGregory Swan, Anthony Scime. 151-157
• An Application of Clustering Techniques to Urban StudiesZahra Ferdowsi, Raffaella Settimi, Daniela Stan Raicu. 158-164
• Peeling Decision Tree Based on Fisher s Linear Discriminant AnalysisJie Ouyang, Nilesh V. Patel. 165-170
• Hybrid PSO Algorithms for Dynamic ClusteringAndrea Villagra, Daniel Pandolfi, Guillermo Leguizamon. 171-180
• Revenue Generation in Hospital Foundations: Neural Network versus Regression Model RecommendationsMary Malliaris, Maria Pappas. 181-186
• Real-time Automatic Building IdentificationRobert Woodley, Warren Noll, Joseph Barker. 187-192
• Association Analysis of Semi-structured Data for Discrimination Discovery in BusinessBinh Luong Thanh, Franco Turini. 193-199
• WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray DatasetMiao Wang, Xuequn Shang, Jingni Diao, Zhanhuai Li. 200-205
• s-Tuple Inclusion - A New Method for Privacy Preserving Publication of DatasetsS. Ram Prasad Reddy, Valli Kumari Vatsavayi, K. V. S. V. N. Raju. 206-212
• Knowledge Discovery in the Virtual Social Network Due to Common Knowledge of ProverbsArmando B. Mendes, Matthias Funk, Luís Cavique. 213-219
• Music Databases and Data Mining ApproachesSatyasaivani Bommakanti, M. Shashi, V. Nagalakshmi, Vikram D.. 220-227
• A Student-Oriented University OntologyAnnemie Vorstermans, Pavol Tanuska, Werner Verschelde, Michal Kebisek. 228-234
• SMO-Style Algorithms for Learning Using Privileged InformationDmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vladimir Vapnik. 235-241
• Learning Ensemble Models on Categorized DatasetsXiong Deng, Yike Guo, Moustafa Ghanem. 242-248
• Solving Classification Problems with the NWEA-evolved ANNsKristina Davoian, Wolfram-Manfred Lippe. 249-255
• Bi-Directional Subspace Decomposition in ClassificationIryna Skrypnyk. 256-266
• Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification ModelsVladimir Cherkassky, Sauptik Dhar. 267-272
• Inference for Neural Network Predictive Models with Impulse InterventionsNikolaos Kourentzes, Sven F. Crone. 273-279
• Ensembles of Locally Linear Models: Application to Bankruptcy PredictionLaura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse. 280-286
• An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural NetworkCristian Rodriguez Rivero, Julian Pucheta, Josef Baumgartner, Hector D. Patiño, B. Kuchen. 287-293
• Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough SetsNoorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh, Guang Liu. 294-300
• A Border-Based Approach for Hiding Fuzzy Weighted Sensitive ItemsetsDurga Toshniwal, Mridula Verma. 301-307
• High Dimensional Data Classification by the PolSOM AlgorithmLu Xu, Tommy W. S. Chow. 308-312
• Data Mining and Electronic Health Records: Selecting Optimal Clinical Treatments in PracticeCasey Bennett, Thomas Doub. 313-318
• Fat Tailed Distribution of Neural Networks ForecastingDomingos S. M. P. Salazar, Maíra de O. Santos, Adrian L. Arnaud, Paulo J. L. Adeodato. 319-326
• Clustering Scatter Plots Using Data Depth MeasuresZhanpan Zhang, Xinping Cui, Daniel R. Jeske, Xiaoxiao Li, Jonathan Braun, James Borneman. 327-333
• Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse EnvironmentsMustansar Ali Ghazanfar, Adam Prügel-Bennett. 334-342
• SP&EPPF: A Novel Algorithm for Sequential Interval-based Pattern MiningJieh-Shan Yeh, Chia-Hsien Ting. 343-349
• Interactive Clustering of Proteomic Data - a Comparison between Self-Organizing Map and Neural GasVemund Jakobsen, Terje Kristensen. 350-356
• Extracting Interesting Patterns of Hard CSPsChendong Li, Jiayin Wang, Yichen Liu. 357-363
• Application of Clustering in a Hybrid Global Optimization AlgorithmTing-Yu Chen, Jyun-Hao Huang. 364-369
• Extension of Hierarchical Information Acquirement by Association Rule Mining from Semi-Structured DataRyosuke Saga, Chihiro Sugaya, Kodai Kitami. 370-374
• Discovering Latent Healthy Nutritional Dietary Patterns with Association Rule Mining and Constraint Handling RulesChendong Li, Yichen Liu. 375-379
• A Novel Architecture for Hiding Sensitive Association RulesMuhammad Naeem, Sohail Asghar. 380-385
• Finding Sequential Patterns from Temporal DatasetsFokrul Alom Mazarbhuiya, Anjana Kakoti Mahanta, Hemanta K. Baruah. 386-391
• Using Unsupervised Machine Learning Methods in High-Throughput ScreeningChérif Mballo, Vladimir Makarenkov. 392-395
• A Dimension-wise Algorithm for Multi-dimensional DataYong Shi, Ali Tavakoli. 396-402
• Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density EstimationBrandon Franzke, Bart Kosko. 403-408
• Document Indexing by Latent Dirichlet AllocationIn-Chan Choi, Jae Sung Lee. 409-414
• Novel Hybrid Method for Sentiment Classification of Movie ReviewsZied Kechaou, Ali Wali, Mohamed Ben Ammar, Adel M. Alimi. 415