Table of Contents

• A Tour of Advanced Data Mining Methodologies: The CART Decision TreeDan Steinberg. 3-10
• Pruning for Extracting Class Association Rules Without Candidate GenerationEmna Bahri, Stéphane Lallich. 11-17
• Mining Frequent Itemsets by Transaction Decomposition with Itemset ClusteringI-En Liao, Ke-Chung Lin, Hong-Bin Chen. 18-24
• Linked List Based High Utility Itemsets Mining Using Pattern Growth MethodFan Wu, Ya-Han Hu, Kai-Chung Pai. 25-34
• OLAP For Multicriteria Maintenance SchedulingWalter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao. 35-41
• Using Social Ties to Predict Missing Customer InformationStamatis Stefanakos. 42-47
• Analyzing Student Retention with Data MiningKevin Daimi, Ruth Miller. 55-60
• Automobile Insurance Knowledge MiningSulaiman Al-Hudhaif. 61-70
• Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric DataNizar Sakr, Fawaz A. Alsulaiman, Julio Valdes, Abdulmotaleb El-Saddik, Nicolas D. Georganas. 71-77
• A Prime Number-Based Method for Interactive Frequent Pattern MiningMohammad-Hossein Nadimi-Shahraki, Norwati Mustapha, Md Nasir Sulaiman, Ali B. Mamat. 78-83
• MRC: Multi Relational Clustering approachMajid Rastegar-Mojarad, Behrouz Minaei-Bidgoli. 84-89
• Concurrent Agent-enabled Extraction of Computational Fluid Dynamics (CFD) Features in SimulationClifton Mortensen, Robert Woodley, Steve Gorrell. 90-96
• Fish or Shark - Data Mining Online PokerUlf Johansson, Cecilia Sönströd. 97-103
• An Efficient Clustering Algorithm based on Sorting and Binary SplittingTae-Wan Ryu, Jae Soo Yoo, Michael Allen Bickel. 104-109
• Perturbation Scheme for Online Incremental Learning of Features for Face RecognitionR. K. Agrawal, Ashish Chaudhary. 110-116
• A Linear Integer Programming Approach to Objective Aware Feature SelectionGuangzhi Qu, Hui Wu, Tao Xia. 117-123
• Data Mining in the Real World: Experiences, Challenges, and RecommendationsGary M. Weiss. 124-130
• Privacy Preserving Sharing of DataSreenivasa Rao, S. Ram Prasad Reddy, K. V. Ramana, V. Valli Kumari, K. V. S. V. N. Raju. 131-137
• A Decision Support System Based on Data Mining for Pediatric Cardiology DiagnosisPaulo J. L. Adeodato, Tarcísio Gurgel, Sandra Mattos. 138-143
• Name Entity Recognition and Classification in Medical Text DocumentsYinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal. 144-150
• Distributed Frequent Pattern Mining Using Time-Slice MethodFan Wu, Ya-Han Hu, Che-Wei Yang. 151-157
• A Novel and Efficient Distributed Data Mining Algorithm Based on Frequent Pattern-TreeFan Wu, Ya-Han Hu, Tz-Ke Wu. 158-164
• Factors Which Influence the Recovery of Alcohol Addicts: A Second Follow Up StudyKathryn Burn-Thornton, Tim Burman. 165-170
• Supervised DAG Based Data Mining Model for DNA Sequence Analysis and Pattern DiscoverySyed Shams-ul-Haq, Muhammad Nadeem. 171-177
• Performance Monitoring and Evaluation of Software Developers in an Information Technology Company using Data Mining TechniquesChandrani Singh, Arpita Gopal. 178-184
• Are Decision Trees Always Greener on the Open (Source) Side of the Fence?Samuel Moore, Daniel D Addario, James Kurinskas, Gary M. Weiss. 185-188
• Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision ProcessesAngi Roesch, Harald Schmidbauer. 189-192
• A Language Modeling Approach for the Classification of Music PiecesGonçalo Marques, Thibault Langlois. 193-198
• Dynamic Data Mining: A Novel Data Mining Process ModelXiong Deng, Yike Guo, Moustafa Ghanem. 199-206
• ATM s Daily Cash Money Demand Forecasting with Recurrent Neural NetworksMahmoud Abou-Nasr. 207-213
• Incorporating Conditional Probability Functions in Time-Dependent Bayesian NetworksDung N. Lam, Cheryl E. Martin. 214-220
• Mining Sequential Episodes from Segmentation of Multivariate Time SeriesLi Wan, Jianxin Liao, Xiaomin Zhu. 221-227
• An Algorithm For Efficiently Clustering High-dimensional Data StreamsGuojun Mao, Xialing Yang. 228-231
• Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic SeasonalitySven F. Crone, Nikolaos Kourentzes. 232-238
• A Fuzzy Index Structure for Multi-Dimensional DataYong Shi. 239-242
• Network-wide Analysis Using Spatio-temporal Association Rules MiningWeisong He, Guangmin Hu. 243-246
• Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power PlantJaakko Talonen, Miki Sirola. 247-252
• Fused Multi-modal DeduplicationSabra Dinerstein, Christophe G. Giraud-Carrier, Jared Dinerstein, Parris K. Egbert. 253-259
• A Combinatorial Fusion Method for Feature ConstructionYe Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma. 260-266
• Influence of Noisy and High-Dimensional Data on Semi-Supervised LearningTianya Hou, Hyunjung Shin. 267-273
• Efficient Record Linkage using a Double Embedding SchemeNoha Adly. 274-281
• Feature Extraction for Graph DatasetsGideon Dror. 282-290
• K-Fold Cross Validation for Error Rate Estimate in Support Vector MachinesDavide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi. 291-297
• Understanding Support Vector Machine Classifications via a Recommender System-Like ApproachDavid Barbella, Sami Benzaid, Janara M. Christensen, Bret Jackson, X. Victor Qin, David R. Musicant. 305-311
• View of Boosting as a Search for Randomness DeficienciesDaniel Burfoot, Yasuo Kuniyoshi. 312-318
• A Probabilistic Model of Pattern Recognition on Abstract DataChun-Hung Tzeng. 319-325
• On Adaboost and Optimal Betting StrategiesPasquale Malacaria, Fabrizio Smeraldi. 326-332
• An Experimental Study on a New Ensemble Method using Robust and Order StatisticsFaisal Zaman, Hideo Hirose. 333-339
• Large Experiment and Evaluation Tool for WEKA ClassifiersDustin Baumgartner, Gürsel Serpen. 340-346
• Formal Model For Fault Recognition In Modern Telecommunication NetworksJacques-H. Bellec, M. Tahar Kechadi. 347-353
• Evaluating Algorithms for Concept DescriptionCecilia Sönströd, Ulf Johansson, Tuve Löfström. 354-360
• Greedy Learning: Using Advantages of Distribution Functions to Improve Generalization of ANNsKristina Davoian, Wolfram-Manfred Lippe. 361-367
• Generation of Weak Models in Stochastic DiscriminationIryna Skrypnyk. 368-374
• Regression based Incremental Learning through Cluster Analysis of Temporal dataSyed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar. 375-381
• Study of Dhaka Stock Exchange-Efficient Market HypothesisJarka Arefin, Rashedur M. Rahman. 382-388
• Identifying Subscribers with Multi-Split Fuzzy Decision TreesG. Jaya Suma, M. Shashi. 389-395
• On The Usage of Data Mining as a Descriptive and Predictive Tool for Cancer Management in Jordan: A ScenarioAsem Omari, Issa Hweidi. 396-402
• P-Sensitive K-Anonymity for Social NetworksRoy Ford, Traian Marius Truta, Alina Campan. 403-409
• APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data MiningJimmy Secretan, Anna Koufakou, Michael Georgiopoulos. 410-416
• High Speed Data Perturbation Methods for Privacy Preserving Data MiningMohammad Ali Kadampur, Durvasula V. L. N. Somayajulu. 417-426
• Personality Based Latent Friendship MiningFan Wang, Yuan Hong, Wenbin Zhang, Gagan Agrawal. 427-433
• Improved k-NN Algorithm for Text ClassificationMuhammed Miah. 434-440
• SVM Fuzzy Hierarchical Document Categorization and Retrieval MethodTaoufik Guernine, Kacem Zeroual. 441-447
• Evaluation of Structured and Un-Structured Document Classification TechniquesSaifullah Azim, Sohail Asghar. 448-457
• Towards Online Personalized Foreseeing System by New Approach through Web Usage MiningMehrdad Jalali, Norwati Mustapha, Md Nasir Sulaiman, Ali Mamat. 458-467
• Algebraic Algorithms to Solve Name Disambiguation ProblemIngyu Lee, Byung-Won On, Seong No Yoon. 468-474
• Improving Cohesiveness of Text Document ClustersGaurav Ruhela. 475-480
• Impact of a New Attribute Extraction Algorithm on Web Page ClassificationGöksel Biricik, Banu Diri. 481-485
• On the Ranking of Text Documents from Large CorpusesHoussain Kettani, Gregory B. Newby. 486-490
• EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual GenresEster Boldrini, Alexandra Balahur, Patricio Martínez-Barco, Andrés Montoyo. 491-497
• Learning a Hyperplane using Genetic Algorithm for Sentiment Classification in TextAnjum Gupta. 498-504
• Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable SetsAnna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos. 505-511
• A Sparse Coding Based Similarity MeasureSebastian Klenk, Gunther Heidemann. 512-516
• An Enhanced Density Based Spatial clustering of Applications with NoiseAhmed M. Fahim, Gunter Saake, Abdel-Badeeh M. Salem, Fawzy A. Torkey, Mohamed A. Ramadan. 517-523
• GCLOD : A Clustering Algorithm for Improved Intra-cluster Similarity and Efficient Local Outliers DetectionAbdul Aleem, Reena Srivastava, Anil Kumar Singh, M. M. Gore. 524-530
• A Graph-based Similarity Metric and Validity Indices for Clustering Non-numeric and Unstructured DataChuan Zhao, Krishnamoorthy Sivakumar. 531-537
• Comparison of Standard and Optimized K-means in SQLR. Nedunchelian, R. Muthucumarasamy, E. Saranathan. 538-542
• Opportunistic Consensus ClusteringArko Banerjee, Arun K. Pujari. 543-549
• Learning a Similarity Measure to Objectively Evaluate Image Segmentation QualityAnjum Gupta. 550-554
• Improving the Results of Partial MatchAikaterini Krotopoulou. 555-560
• The Use of Logistic Regression Analyses and Data Classification Mining to Examine Variables Predictive of Long-term Healthcare Staff Giving Cessation AdviceCelia Watt, Jill Lassiter, Douglas Scheidt. 561-565
• Testing Terrorism Using Iterative Expert Data MiningGregg R. Murray, Lance Y. Hunter, Anthony Scime. 565-572
• Mining Spreadsheet Complexity Data to Classify End User DevelopersStephen Hole, Duncan McPhee, Alex Lohfink. 573-579
• Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification ProblemsEmad A. El-Sebakhy, Tarek Sheltami, Asparouhov Asparouhov, Krassimir Latinski, Zeehasham Rasheed. 580-585
• Parallel Synchronization of View Definitions Based On Clustering TechniquesInès Hilali-Jaghdam, Jalel Akaichi. 586-590
• The Analysis of the Relationships Between the Real Vehicle Informaion and the Fuel ConsumptionJongwoo Choi, Daesub Yoon, Kyoungho Kim, Hyunsuk Kim. 591-594
• A Comparative Study of Simulated Annealing and Variable Neighborhood Search for the Geographic Clustering ProblemMaría Beatriz Bernábe Loranca, José E. Espinosa Rosales, María Auxilio Osorio Lama, Javier Ramírez-Rodríguez, Ricardo García Aceves. 595-599