Table of Contents

• Computational Developments of Psi-learningSijin Liu, Xiaotong Shen, Wing Hung Wong. 1-11
• A Random Walks Perspective on Maximizing Satisfaction and ProfitMatthew Brand. 12-19
• Surveying Data for Patchy StructureRonald K. Pearson. 20-31
• 2-Dimensional Singular Value Decomposition for 2D Maps and ImagesChris H. Q. Ding, Jieping Ye. 32-43
• Summarizing and Mining Skewed Data StreamsGraham Cormode, S. Muthukrishnan. 44-55
• Online Analysis of Community Evolution in Data StreamsCharu C. Aggarwal, Philip S. Yu. 56-67
• Mining Frequent Itemsets from Data Streams with a Time-Sensitive Sliding WindowChih-Hsiang Lin, Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen. 68-79
• On Abnormality Detection in Spuriously Populated Data StreamsCharu C. Aggarwal. 80-91
• Privacy-Preserving Classification of Customer Data without Loss of AccuracyZhiqiang Yang, Sheng Zhong, Rebecca N. Wright. 92-102
• Privacy Aware Market Basket Data Set Generation: A Feasible Approach for Inverse Frequent Set MiningXintao Wu, Ying Wu, Yongge Wang, Yingjiu Li. 103-114
• On Variable Constraints in Privacy Preserving Data MiningCharu C. Aggarwal, Philip S. Yu. 115-125
• Clustering with Model-level ConstraintsDavid Gondek, Shivakumar Vaithyanathan, Ashutosh Garg. 126-137
• A Cutting Algorithm for the Minimum Sum-of-Squared Error ClusteringYu Xia 0003, Jiming Peng. 150-160
• Dynamic Classification of Defect Structures in Molecular Dynamics Simulation DataSameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju, John Wilkins. 161-172
• Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial PatternsBavani Arunasalam, Sanjay Chawla, Pei Sun. 173-182
• Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical SpectraAta Kabán, Louisa Nolan, Somak Raychaudhury. 183-194
• Hybrid Data Reduction with Fuzzy Rough Set Theory for ClassificationQinghua Hu. 195-204
• HARMONY: Efficiently Mining the Best Rules for ClassificationJianyong Wang, George Karypis. 205-216
• Lazy Learning for Classification Based on Query ProjectionsYiqiu Han, Wai Lam. 227-238
• Mining Non-Derivable Association RulesBart Goethals, Juho Muhonen, Hannu Toivonen. 239-249
• Depth-First Non-Derivable Itemset MiningToon Calders, Bart Goethals. 250-261
• Exploiting Relationships for Domain-Independent Data CleaningDmitri V. Kalashnikov, Sharad Mehrotra, Zhaoqi Chen. 262-273
• A Spectral Clustering Approach To Finding Communities in GraphScott White, Padhraic Smyth. 274-285
• Mining Behavior Graphs for Backtrace of Noncrashing BugsChao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu. 286-297
• Learning to Refine Ontology for a New Web Site Using a Bayesian ApproachTak-Lam Wong, Wai Lam. 298-309
• Exploiting Parameter Related Domain Knowledge for Learning in Graphical ModelsRadu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. 310-321
• Exploiting Geometry for Support Vector Machine IndexingNavneet Panda, Edward Y. Chang. 322-333
• Parallel Computation of RBF Kernels for Support Vector ClassifiersShibin Qiu, Terran Lane. 334-345
• Loadstar: A Load Shedding Scheme for Classifying Data StreamsYun Chi, Philip S. Yu, Haixun Wang, Richard R. Muntz. 346-357
• Topic-driven Clustering for Document DatasetsYing Zhao, George Karypis. 358-369
• Variational Learning for Noisy-OR Component AnalysisTomás Singliar, Milos Hauskrecht. 370-379
• Summarizing Sequential Data with Closed Partial OrdersGemma Casas-Garriga. 380-391
• SUMSRM: A New Statistic for the Structural Break Detection in Time SeriesKwok Pan Pang. 392-403
• Efficient Mining of Maximal Sequential Patterns Using Multiple SamplesCongnan Luo, Soon Myoung Chung. 415-426
• Gaussian Processes for Active Data Mining of Spatial AggregatesNaren Ramakrishnan, Chris Bailey-Kellogg, Satish Tadepalli, Varun Pandey. 427-438
• Correlation Clustering for Learning Mixtures of Canonical Correlation ModelsXiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl. 439-448
• On Periodicity Detection and Structural Periodic SimilarityMichail Vlachos, Philip S. Yu, Vittorio Castelli. 449-460
• Cross Table Cubing: Mining Iceberg Cubes from Data WarehousesJian Pei, Moonjung Cho, David Wai-Lok Cheung. 461-465
• Decision Tree Induction in High Dimensional, Hierarchically Distributed DatabasesAmir Bar-Or, Ran Wolff, Assaf Schuster, Daniel Keren. 466-470
• Slope One Predictors for Online Rating-Based Collaborative FilteringDaniel Lemire, Anna Maclachlan. 471-475
• Sparse Fisher Discriminant Analysis for Computer Aided DetectionMehmet Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao. 476-480
• Expanding the Training Data Space Using Emerging Patterns and Genetic MethodsHamad Alhammady, Kotagiri Ramamohanarao. 481-485
• Making Data Mining Models Useful to Model Non-paying Customers of Exchange CarriersWei Fan, Janek Mathuria, Chang-Tien Lu. 486-490
• Matrix Condition Number Prediction with SVM Regression and Feature SelectionShuting Xu, Jun Zhang. 491-495
• Cluster Validity Analysis of Alternative Results from Multi-Objective OptimizationReda Alhajj. 496-500
• ClosedPROWL: Efficient Mining of Closed Frequent Continuities by Projected Window List TechnologyKuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin. 501-505
• Three Myths about Dynamic Time Warping Data MiningChotirat (Ann) Ratanamahatana, Eamonn J. Keogh. 506-510
• PCA and kernel PCA using polynomial filtering: a case study on face recognitionEffrosini Kokiopoulou, Yousef Saad. 511-515
• Mining Top-K Itemsets over a Sliding Window Based on Zipfian DistributionRaymond Chi-Wing Wong, Ada Wai-Chee Fu. 516-520
• Hierarchical Document Classification Using Automatically Generated HierarchyTao Li. 521-525
• On Clustering Binary DataTao Li. 526-530
• Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series DatabasesNitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana. 531-535
• Pushing Feature Selection Ahead Of JoinRong She, Ke Wang, Yabo Xu, Philip S. Yu. 536-540
• Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense DatabasesShiying Huang, Geoffrey I. Webb. 541-545
• SPID4.7: Discretization Using Successive Pseudo Deletion at Maximum Information Gain Boundary PointsHimika Biswas, Somnath Pal. 546-550
• Iterative Mining for Rules with Constrained AntecedentsZheng Sun, Philip S. Yu, Xiang-Yang Li. 551-555
• Influence in Ratings-Based Recommender Systems: An Algorithm-Independent ApproachAl Mamunur Rashid, George Karypis, John Riedl. 556-560
• Mining Unconnected Patterns in WorkflowsGianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà. 561-565
• The Best Nurturers in Computer Science ResearchBharath Kumar Mohan. 566-570
• Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point CorrelationsTsuyoshi Idé, Keisuke Inoue. 571-575
• Building Decision Trees on Records Linked through Key ReferencesKe Wang, Yabo Xu, Philip S. Yu, Rong She. 576-580
• Efficient Allocation of Marketing Resources using Dynamic ProgrammingGiuliano Tirenni, Abderrahim Labbi, André Elisseeff, Cesar Berrospi. 581-585
• Near-Neighbor Search in Pattern Distance SpacesHaixun Wang, Chang-Shing Perng, Philip S. Yu. 586-590
• An Algorithm for Well Structured Subspace ClustersHaiyun Bian, Raj Bhatnagar. 591-595
• CBS: A New Classification Method by Using Sequential PatternsVincent Shin-Mu Tseng, Chao-Hui Lee. 596-600
• SeqIndex: Indexing Sequences by Sequential Pattern AnalysisHong Cheng, Xifeng Yan, Jiawei Han. 601-605
• On the Equivalence of Nonnegative Matrix Factorization and Spectral ClusteringChris H. Q. Ding, Xiaofeng He. 606-610
• Kronecker Factorization for Speeding up Kernel MachinesGang Wu, Zhihua Zhang, Edward Y. Chang. 611-615
• Symmetric Statistical Translation Models for Automatic Image AnnotationFeng Kang, Rong Jin. 616-620
• Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented TargetsKang Peng, Slobodan Vucetic, Zoran Obradovic. 621-625
• Statictical Models for Unequally Spaced Time SeriesAlina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish. 626-630
• CLSI: A Flexible Approximation Scheme from Clustered Term-Document MatricesEfstratios Gallopoulos, Dimitrios Zeimpekis. 631-635
• WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weightUnil Yun, John J. Leggett. 636-640
• Model-based Clustering With Probabilistic ConstraintsMartin H. C. Law, Alexander P. Topchy, Anil K. Jain. 641-645