Table of Contents

• Ask the Crowd to Find out What s ImportantSisay Fissaha Adafre, Maarten de Rijke. 3-8 [doi]
• Aspect Summarization from Blogsphere for Social StudyChia-Hui Chang, Kun-Chang Tsai. 9-14 [doi]
• FiVaTech: Page-Level Web Data Extraction from Template PagesMohammed Kayed, Chia-Hui Chang, Khaled F. Shaalan, Moheb R. Girgis. 15-20 [doi]
• SOPS: Stock Prediction Using Web SentimentVivek Sehgal, Charles Song. 21-26 [doi]
• HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale NetworksHaizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles, Henry C. Foley, John Yen. 27-32 [doi]
• Extracting Author Meta-Data from Web Using Visual FeaturesShuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles. 33-40 [doi]
• Automatic Generation of Traditional Style Painting by Using Density-Based Color ClusteringGuangyan Huang, Zhiming Ding, Jing He. 41-44 [doi]
• Semi-Automatic Semantic Annotation of ImagesSuzanne Little, Ovidio Salvetti, Petra Perner. 45-50 [doi]
• Bit Sequences and Biclustering of Text DocumentsSelim Mimaroglu, Kuniaki Uehara. 51-56 [doi]
• Tensor Space Learning for Analyzing Activity Patterns from Video SequencesLiang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek. 63-68 [doi]
• Adapting SVM Classifiers to Data with Shifted DistributionsJun Yang, Rong Yan, Alexander G. Hauptmann. 69-76 [doi]
• A Comparative Study of Methods for Transductive Transfer LearningAndrew Arnold, Ramesh Nallapati, William W. Cohen. 77-82 [doi]
• Assessing Reliability of Protein-Protein Interactions by Semantic Data IntegrationYoung-Rae Cho, Woochang Hwang, Aidong Zhang. 83-88 [doi]
• Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site PredictionRezarta Islamaj Dogan, Lise Getoor, W. John Wilbur. 89-94 [doi]
• Statistical Approaches to Identifying Androgen Response ElementsLi Li, Steffen Heber, Qiang Zhang, Melvin E. Andersen. 95-100 [doi]
• Mapping Gene/Protein Names in Free Text to Biomedical DatabasesHongfang Liu, Manabu Torii, Zhang-Zhi Hu, Cathy H. Wu. 101-106 [doi]
• A Content Based Pattern Analysis System for a Biological Specimen CollectionJoyita Mallik, Ashok Samal, Scott L. Gardner. 107-112 [doi]
• Discovering Gene Expression Data from the Tables of Full Text PublicationsBrigitte Mathiak, Andreas Kupfer, Carolina Rio Bartulos, Tatjana Scope, Johann Weiland, Silke Eckstein. 113-118 [doi]
• Modeling and Management of Signal Transduction Pathways with Live Sequence ChartsClaudia Täubner, Brigitte Mathiak, Silke Eckstein. 119-126 [doi]
• Developing an Integrated Time-Series Data Mining Environment for Medical Data MiningHidenao Abe, Hideto Yokoi, Miho Ohsaki, Takahira Yamaguchi. 127-132 [doi]
• Time-Annotated Sequences for Medical Data MiningMichele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini. 133-138 [doi]
• Automatically Finding Images for Clinical Decision SupportDina Demner-Fushman, Sameer Antani, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost V. Elisevich. 139-144 [doi]
• Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory ExaminationsShoji Hirano, Shusaku Tsumoto. 151-156 [doi]
• Predictive Data Mining for Lung Nodule InterpretationWilliam Horsthemke, Ekarin Varutbangkul, Daniela Raicu, Jacob Furst. 157-162 [doi]
• Predictive Data Mining to Learn Health Vitals of a Resident in a Smart HomeVikramaditya R. Jakkula. 163-168 [doi]
• Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance OrganizationMark Last, Rafael Carel, Dotan Barak. 169-174 [doi]
• Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients’ Lactobacillus Therapy by Data MiningKimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto. 175-180 [doi]
• Data Modeling for Content-Based Support Environment Application on Epilepsy Data MiningMohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Ameen Eetemadi, Kost V. Elisevich. 181-188 [doi]
• Data Clustering with a Relational Push-Pull ModelAdam Anthony, Marie desJardins. 189-194 [doi]
• Learning What Makes a Society TickHung-Ching Chen, Mark K. Goldberg, Malik Magdon-Ismail, William A. Wallace. 195-200 [doi]
• Distance Metric Learning through Optimization of RankingKreshna Gopal, Thomas R. Ioerger. 201-206 [doi]
• Using Data Mining to Estimate Missing Sensor DataLe Gruenwald, Hamed Chok, Mazen Aboukhamis. 207-212 [doi]
• Cluster Analysis and Optimization in Color-Based Clustering for Image AbstractJing He, Guangyan Huang, Yanchun Zhang, Yong Shi. 213-218 [doi]
• Predicting and Optimizing Classifier Utility with the Power LawMark Last. 219-224 [doi]
• Mining Distance-Based Outliers from Categorical DataShuxin Li, Robert Lee, Sheau-Dong Lang. 225-230 [doi]
• Feature Selection for Nonlinear Kernel Support Vector MachinesOlvi L. Mangasarian, Gang Kou. 231-236 [doi]
• Physical Analysis of Precipitation Factors Based on SVM MethodXiong Qiufen, Gao Jie, Liu Huanzhu, Shao Mingxuan. 243-246 [doi]
• An Efficient Fitness Assignment Based on Dominating TreeChuan Shi, Zhongzhi Shi, Bin Wu. 247-252 [doi]
• A Regularized Multiple Criteria Linear Program for ClassificationYong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang. 253-258 [doi]
• Dual Fuzzy-Possibilistic Co-clustering for Document CategorizationWilliam-Chandra Tjhi, Lihui Chen. 259-264 [doi]
• Generalized Additive Models from a Neural Network PerspectiveD. A. de Waal, J. V. du Toit. 265-270 [doi]
• A Novel Rule Weighting Approach in Classification Association Rule MiningYanbo J. Wang, Qin Xin, Frans Coenen. 271-276 [doi]
• Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-OptimalityYasutoshi Yajima, Teppei Sato. 277-282 [doi]
• Classification with Choquet Integral with Respect to Signed Non-additive MeasureNian Yan, Zhenyuan Wang, Zhengxin Chen. 283-288 [doi]
• Multiple-Criteria Linear Programming for VIP E-Mail Behavior AnalysisPeng Zhang, Jingran Dai. 289-296 [doi]
• A Novel Parallel Boolean Approach for Discovering Frequent ItemsetsWassim Ayadi, Khedija Arour. 297-302 [doi]
• Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorizationGang Chen, Fei Wang, Changshui Zhang. 303-308 [doi]
• Extracting Knowledge to Predict TSP Asymptotic Time ComplexityPaula Cecilia Fritzsche, Dolores Rexachs, Emilio Luque. 309-318 [doi]
• Twin Kernel Embedding with Back ConstraintsYi Guo, Paul Wing Hing Kwan, Junbin Gao. 319-324 [doi]
• An Efficient Technique for Mining Approximately Frequent Substring PatternsXiaonan Ji, James Bailey. 325-330 [doi]
• Robust Unsupervised and Semisupervised Bounded C-Support Vector MachinesZhao Kun, Tian Ying-jie, Deng Nai-yang, Hiroshi Kuwajima, Takashi Washio. 331-336 [doi]
• Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic ModelsRamesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing. 343-348 [doi]
• Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and ScalabilityRamesh Nallapati, William W. Cohen, John D. Lafferty. 349-354 [doi]
• WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity MeasureBaoying Wang, Imad Rahal. 355-360 [doi]
• Semi-supervised Clustering Using Bayesian RegularizationZuobing Xu, Ram Akella, Mike Ching, Renjie Tang. 361-366 [doi]
• Experimental Comparison of Feature Subset Selection MethodsChulmin Yun, Jihoon Yang. 367-372 [doi]
• Utility-Based Web Path Traversal Pattern MiningLin Zhou, Ying Liu, Jing Wang, Yong Shi. 373-380 [doi]
• Combining Collective Classification and Link PredictionMustafa Bilgic, Galileo Namata, Lise Getoor. 381-386 [doi]
• Simultaneous Heterogeneous Data Clustering Based on Higher Order RelationshipsShouchun Chen, Fei Wang, Changshui Zhang. 387-392 [doi]
• Discovering Structural Anomalies in Graph-Based DataWilliam Eberle, Lawrence B. Holder. 393-398 [doi]
• Subgraph Support in a Single Large GraphMathias Fiedler, Christian Borgelt. 399-404 [doi]
• Tree Planar LanguagesChristophe Costa Florêncio. 405-410 [doi]
• An Examination of Experimental Methodology for Classifiers of Relational DataBrian Gallagher, Tina Eliassi-Rad. 411-416 [doi]
• GDClust: A Graph-Based Document Clustering TechniqueM. Shahriar Hossain, Rafal A. Angryk. 417-422 [doi]
• Learning Term Dependency Links Using Information Theoretic Inclusion MeasureMasoud Makrehchi, Mohamed S. Kamel. 423-428 [doi]
• Exploiting Network Structure for Active Inference in Collective ClassificationMatthew J. Rattigan, Marc Maier, David Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang. 429-434 [doi]
• A Divisive Hierarchical Structural Clustering Algorithm for NetworksNurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J. Schweiger. 441-448 [doi]
• Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea SandstoneLance E. Besaw, Donna M. Rizzo. 449-454 [doi]
• Genre Categorization of Web PagesJebari Chaker, Habib Ounelli. 455-464 [doi]
• Segmenting Multi-attribute Sequences Using Dynamic Bayesian NetworksRobert Gwadera, Janne Toivola, Jaakko Hollmén. 465-470 [doi]
• Error-Aware Density-Based Clustering of Imprecise Measurement ValuesDirk Habich, Peter Benjamin Volk, Wolfgang Lehner, Ralf Dittmann, Clemens Utzny. 471-476 [doi]
• Skewed Class Distributions and Mislabeled ExamplesJason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano. 477-482 [doi]
• Reducing UK-Means to K-MeansSau Dan Lee, Ben Kao, Reynold Cheng. 483-488 [doi]
• Efficient Mining of Frequent Patterns from Uncertain DataCarson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao. 489-494 [doi]
• A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited DataFeng Liu, Fengzhan Tian, QiLiang Zhu. 495-500 [doi]
• Granularity Conscious Modeling for Probabilistic DatabasesEirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein. 501-506 [doi]
• Representing Tuple and Attribute Uncertainty in Probabilistic DatabasesPrithviraj Sen, Amol Deshpande, Lise Getoor. 507-512 [doi]
• Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMsErika Vilches, Ivan A. Escobar, Edgar E. Vallejo, Charles E. Taylor. 513-518 [doi]
• Incremental Integration of Probabilistic Models Learned from DataJian Xu, Pedrito Maynard-Zhang, Jianhua Chen. 519-526 [doi]
• Incremental Quantization for Aging Data StreamsFatih Altiparmak, David Chiu, Hakan Ferhatosmanoglu. 527-532 [doi]
• Hierarchical Classifier Combination and Its Application in Networks Intrusion DetectionMorteza Analoui, Behrouz Minaei-Bidgoli, Mohammad Hossein Rezvani. 533-538 [doi]
• An Approach for Incremental Semi-supervised SVMWael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner. 539-544 [doi]
• Sequential Change Detection on Data StreamsS. Muthukrishnan, Eric van den Berg, Yihua Wu. 551-550 [doi]
• Optimal Window Change DetectionJan Peter Patist. 557-562 [doi]
• High-Speed Identification of Language and ScriptAlan Ratner, Ron Loui. 563-568 [doi]
• Infrequent Item Mining in Multiple Data StreamsBudhaditya Saha, Mihai Lazarescu, Svetha Venkatesh. 569-574 [doi]
• Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data StreamZhijian Yuan, Kai Du, Yan Jia, Jiajia Miao. 575-580 [doi]
• Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping FilesXiangliang Zhang, Michèle Sebag, Cécile Germain. 581-588 [doi]
• Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical CosimulationAna Cristina Costa, Amílcar Soares. 589-594 [doi]
• On Regional Association Rule ScopingWei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot. 595-600 [doi]
• A Compact Representation of Spatio-Temporal DataSigal Elnekave, Mark Last, Oded Maimon. 601-606 [doi]
• Modeling Fundamental Geo-Raster Operations with Array AlgebraAngelica Garcia Gutierrez, Peter Baumann. 607-612 [doi]
• Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential PatternsShyamanta M. Hazarika. 613-618 [doi]
• Query Expansion Using Topic and LocationShu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee Giles. 619-624 [doi]
• Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data MiningVikramaditya R. Jakkula, Aaron S. Crandall, Diane J. Cook. 625-630 [doi]
• Space-Time Summarization of Multisensor Time Series. Case of Missing DataMarc Joliveau, Florian De Vuyst. 631-636 [doi]
• Spatial Clustering Using the Likelihood FunctionApril Kerby, David Marx, Ashok Samal, Viacheslav Adamchuck. 637-642 [doi]
• Diagnosing Similarity of Oscillation Trends in Time SeriesLeonardo E. Mariote, Claudia Bauzer Medeiros, Ricardo da Silva Torres. 643-648 [doi]
• Areal Aggregated Crime Reasoning through Density TracingIckjai Lee, Peter Phillips. 649-654
• Formulating, Identifying and Analyzing Individual Spatial KnowledgeFalko Schmid. 655-660 [doi]
• Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming : Can We Predict Vegetation Types from Environmental Variables?ZongBo Shang, Jeffery D. Hamerlinck. 661-666 [doi]
• The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining TechniquesTsegaye Tadesse, Brian Wardlow. 667-672 [doi]
• A Hybrid Classification Scheme for Mining Multisource Geospatial DataRanga Raju Vatsavai, Budhendra L. Bhaduri. 673-678 [doi]
• Fast Mining of Complex Spatial Co-location Patterns Using GLIMITFlorian Verhein, Ghazi Al-Naymat. 679-684 [doi]
• Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern OscillationElizabeth Wu, Sanjay Chawla. 685-692 [doi]
• Hiding Sensitive Trajectory PatternsOsman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti. 693-698 [doi]
• Privacy-Preserving k-NN for Small and Large Data SetsArtak Amirbekyan, Vladimir Estivill-Castro. 699-704 [doi]
• A Secure Clustering Algorithm for Distributed Data StreamsGeetha Jagannathan, Krishnan Pillaipakkamnatt, D. Umano. 705-710 [doi]
• Private Inference Control for Aggregate Database QueriesGeetha Jagannathan, Rebecca N. Wright. 711-716 [doi]
• Privacy-Preserving Data Mining Applications in the Malicious ModelMurat Kantarcioglu, Onur Kardes. 717-722 [doi]
• Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed DatabasesAleksandra B. Slavkovic, Yuval Nardi, Matthew M. Tibbits. 723-728 [doi]
• Simultaneous Pattern and Data Hiding in Unsupervised LearningJie Wang, Jun Zhang, Lian Liu, Dianwei Han. 729-734 [doi]