Data Mining in Web 2.0 Environments

• 
  Sisay Fissaha Adafre, Maarten de Rijke: Ask the Crowd to Find out What's Important. 3-8
• 
  Chia-Hui Chang, Kun-Chang Tsai: Aspect Summarization from Blogsphere for Social Study. 9-14
• 
  Mohammed Kayed, Chia-Hui Chang, Khaled F. Shaalan, Moheb R. Girgis: FiVaTech: Page-Level Web Data Extraction from Template Pages. 15-20
• 
  Vivek Sehgal, Charles Song: SOPS: Stock Prediction Using Web Sentiment. 21-26
• 
  Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles, Henry C. Foley, John Yen: HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks. 27-32
• 
  Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles: Extracting Author Meta-Data from Web Using Visual Features. 33-40

Knowledge Discovery from Multimedia Data and Multimedia Applications

• 
  Guangyan Huang, Zhiming Ding, Jing He: Automatic Generation of Traditional Style Painting by Using Density-Based Color Clustering. 41-44
• 
  Suzanne Little, Ovidio Salvetti, Petra Perner: Semi-Automatic Semantic Annotation of Images. 45-50
• 
  Selim Mimaroglu, Kuniaki Uehara: Bit Sequences and Biclustering of Text Documents. 51-56
• 
  Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek: Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. 63-68
• 
  Jun Yang, Rong Yan, Alexander G. Hauptmann: Adapting SVM Classifiers to Data with Shifted Distributions. 69-76

Mining and Management of Biological Data

• 
  Andrew Arnold, Ramesh Nallapati, William W. Cohen: A Comparative Study of Methods for Transductive Transfer Learning. 77-82
• 
  Young-Rae Cho, Woochang Hwang, Aidong Zhang: Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. 83-88
• 
  Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur: Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. 89-94
• 
  Li Li, Steffen Heber, Qiang Zhang, Melvin E. Andersen: Statistical Approaches to Identifying Androgen Response Elements. 95-100
• 
  Hongfang Liu, Manabu Torii, Zhang-Zhi Hu, Cathy H. Wu: Mapping Gene/Protein Names in Free Text to Biomedical Databases. 101-106
• 
  Joyita Mallik, Ashok Samal, Scott L. Gardner: A Content Based Pattern Analysis System for a Biological Specimen Collection. 107-112
• 
  Brigitte Mathiak, Andreas Kupfer, Carolina Rio Bartulos, Tatjana Scope, Johann Weiland, Silke Eckstein: Discovering Gene Expression Data from the Tables of Full Text Publications. 113-118
• 
  Claudia Täubner, Brigitte Mathiak, Silke Eckstein: Modeling and Management of Signal Transduction Pathways with Live Sequence Charts. 119-126

Data Mining in Medicine

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  Hidenao Abe, Hideto Yokoi, Miho Ohsaki, Takahira Yamaguchi: Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining. 127-132
• 
  Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini: Time-Annotated Sequences for Medical Data Mining. 133-138
• 
  Dina Demner-Fushman, Sameer Antani, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost V. Elisevich: Automatically Finding Images for Clinical Decision Support. 139-144
• 
  Shoji Hirano, Shusaku Tsumoto: Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. 151-156
• 
  William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst: Predictive Data Mining for Lung Nodule Interpretation. 157-162
• 
  Vikramaditya R. Jakkula: Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home. 163-168
• 
  Mark Last, Rafael Carel, Dotan Barak: Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance Organization. 169-174
• 
  Kimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto: Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining. 175-180
• 
  Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Ameen Eetemadi, Kost V. Elisevich: Data Modeling for Content-Based Support Environment Application on Epilepsy Data Mining. 181-188

Optimization-Based Data Mining Techniques with Applications

• 
  Adam Anthony, Marie desJardins: Data Clustering with a Relational Push-Pull Model. 189-194
• 
  Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Ismail, William A. Wallace: Learning What Makes a Society Tick. 195-200
• 
  Kreshna Gopal, Thomas R. Ioerger: Distance Metric Learning through Optimization of Ranking. 201-206
• 
  Le Gruenwald, Hamed Chok, Mazen Aboukhamis: Using Data Mining to Estimate Missing Sensor Data. 207-212
• 
  Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi: Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract. 213-218
• 
  Mark Last: Predicting and Optimizing Classifier Utility with the Power Law. 219-224
• 
  Shuxin Li, Robert Lee, Sheau-Dong Lang: Mining Distance-Based Outliers from Categorical Data. 225-230
• 
  Olvi L. Mangasarian, Gang Kou: Feature Selection for Nonlinear Kernel Support Vector Machines. 231-236
• 
  Xiong Qiufen, Gao Jie, Liu Huanzhu, Shao Mingxuan: Physical Analysis of Precipitation Factors Based on SVM Method. 243-246
• 
  Chuan Shi, Zhongzhi Shi, Bin Wu: An Efficient Fitness Assignment Based on Dominating Tree. 247-252
• 
  Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang: A Regularized Multiple Criteria Linear Program for Classification. 253-258
• 
  William-Chandra Tjhi, Lihui Chen: Dual Fuzzy-Possibilistic Co-clustering for Document Categorization. 259-264
• 
  David A. de Waal, Jan V. du Toit: Generalized Additive Models from a Neural Network Perspective. 265-270
• 
  Yanbo J. Wang, Qin Xin, Frans Coenen: A Novel Rule Weighting Approach in Classification Association Rule Mining. 271-276
• 
  Yasutoshi Yajima, Teppei Sato: Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-Optimality. 277-282
• 
  Nian Yan, Zhenyuan Wang, Zhengxin Chen: Classification with Choquet Integral with Respect to Signed Non-additive Measure. 283-288
• 
  Peng Zhang, Jingran Dai: Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis. 289-296

High Performance Data Mining

• 
  Wassim Ayadi, Khedija Arour: A Novel Parallel Boolean Approach for Discovering Frequent Itemsets. 297-302
• 
  Gang Chen, Fei Wang, Changshui Zhang: Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. 303-308
• 
  Paula Cecilia Fritzsche, Dolores Rexachs, Emilio Luque: Extracting Knowledge to Predict TSP Asymptotic Time Complexity. 309-318
• 
  Yi Guo, Paul Wing Hing Kwan, Junbin Gao: Twin Kernel Embedding with Back Constraints. 319-324
• 
  Xiaonan Ji, James Bailey: An Efficient Technique for Mining Approximately Frequent Substring Patterns. 325-330
• 
  Zhao Kun, Tian Ying-jie, Deng Nai-yang, Hiroshi Kuwajima, Takashi Washio: Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. 331-336
• 
  Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing: Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. 343-348
• 
  Ramesh Nallapati, William W. Cohen, John D. Lafferty: Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. 349-354
• 
  Baoying Wang, Imad Rahal: WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. 355-360
• 
  Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang: Semi-supervised Clustering Using Bayesian Regularization. 361-366
• 
  Chulmin Yun, Jihoon Yang: Experimental Comparison of Feature Subset Selection Methods. 367-372
• 
  Lin Zhou, Ying Liu, Jing Wang, Yong Shi: Utility-Based Web Path Traversal Pattern Mining. 373-380

Mining Graphs and Complex Structures

• 
  Mustafa Bilgic, Galileo Namata, Lise Getoor: Combining Collective Classification and Link Prediction. 381-386
• 
  Shouchun Chen, Fei Wang, Changshui Zhang: Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. 387-392
• 
  William Eberle, Lawrence B. Holder: Discovering Structural Anomalies in Graph-Based Data. 393-398
• 
  Mathias Fiedler, Christian Borgelt: Subgraph Support in a Single Large Graph. 399-404
• 
  Christophe Costa Florêncio: Tree Planar Languages. 405-410
• 
  Brian Gallagher, Tina Eliassi-Rad: An Examination of Experimental Methodology for Classifiers of Relational Data. 411-416
• 
  M. Shahriar Hossain, Rafal A. Angryk: GDClust: A Graph-Based Document Clustering Technique. 417-422
• 
  Masoud Makrehchi, Mohamed S. Kamel: Learning Term Dependency Links Using Information Theoretic Inclusion Measure. 423-428
• 
  Matthew J. Rattigan, Marc E. Maier, David Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang: Exploiting Network Structure for Active Inference in Collective Classification. 429-434
• 
  Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J. Schweiger: A Divisive Hierarchical Structural Clustering Algorithm for Networks. 441-448

Data Mining on Uncertain Data

• 
  Lance E. Besaw, Donna M. Rizzo: Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone. 449-454
• 
  Jebari Chaker, Habib Ounelli: Genre Categorization of Web Pages. 455-464
• 
  Robert Gwadera, Janne Toivola, Jaakko Hollmén: Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. 465-470
• 
  Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner, Ralf Dittmann, Clemens Utzny: Error-Aware Density-Based Clustering of Imprecise Measurement Values. 471-476
• 
  Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Skewed Class Distributions and Mislabeled Examples. 477-482
• 
  Sau Dan Lee, Ben Kao, Reynold Cheng: Reducing UK-Means to K-Means. 483-488
• 
  Carson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao: Efficient Mining of Frequent Patterns from Uncertain Data. 489-494
• 
  Feng Liu, Fengzhan Tian, QiLiang Zhu: A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data. 495-500
• 
  Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein: Granularity Conscious Modeling for Probabilistic Databases. 501-506
• 
  Prithviraj Sen, Amol Deshpande, Lise Getoor: Representing Tuple and Attribute Uncertainty in Probabilistic Databases. 507-512
• 
  Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, Charles E. Taylor: Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs. 513-518
• 
  Jian Xu, Pedrito Maynard-Zhang, Jianhua Chen: Incremental Integration of Probabilistic Models Learned from Data. 519-526

Data Streaming Mining and Management

• 
  Fatih Altiparmak, David Chiu, Hakan Ferhatosmanoglu: Incremental Quantization for Aging Data Streams. 527-532
• 
  Morteza Analoui, Behrouz Minaei-Bidgoli, Mohammad Hossein Rezvani: Hierarchical Classifier Combination and Its Application in Networks Intrusion Detection. 533-538
• 
  Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner: An Approach for Incremental Semi-supervised SVM. 539-544
• 
  S. Muthukrishnan, Eric van den Berg, Yihua Wu: Sequential Change Detection on Data Streams. 551-550
• 
  Jan Peter Patist: Optimal Window Change Detection. 557-562
• 
  Alan Ratner, Ron Loui: High-Speed Identification of Language and Script. 563-568
• 
  Budhaditya Saha, Mihai Lazarescu, Svetha Venkatesh: Infrequent Item Mining in Multiple Data Streams. 569-574
• 
  Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao: Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream. 575-580
• 
  Xiangliang Zhang, Michèle Sebag, Cécile Germain: Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. 581-588
• 
  Ana Cristina Costa, Amílcar Soares: Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation. 589-594
• 
  Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot: On Regional Association Rule Scoping. 595-600
• 
  Sigal Elnekave, Mark Last, Oded Maimon: A Compact Representation of Spatio-Temporal Data. 601-606
• 
  Angelica Garcia Gutierrez, Peter Baumann: Modeling Fundamental Geo-Raster Operations with Array Algebra. 607-612
• 
  Shyamanta M. Hazarika: Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential Patterns. 613-618
• 
  Shu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee Giles: Query Expansion Using Topic and Location. 619-624
• 
  Vikramaditya R. Jakkula, Aaron S. Crandall, Diane J. Cook: Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining. 625-630
• 
  Marc Joliveau, Florian De Vuyst: Space-Time Summarization of Multisensor Time Series. Case of Missing Data. 631-636
• 
  April Kerby, David Marx, Ashok Samal, Viacheslav Adamchuck: Spatial Clustering Using the Likelihood Function. 637-642
• 
  Leonardo E. Mariote, Claudia Bauzer Medeiros, Ricardo da Silva Torres: Diagnosing Similarity of Oscillation Trends in Time Series. 643-648
• 
  Ickjai Lee, Peter Phillips: Areal Aggregated Crime Reasoning through Density Tracing. 649-654
• 
  Falko Schmid: Formulating, Identifying and Analyzing Individual Spatial Knowledge. 655-660
• 
  ZongBo Shang, Jeffery D. Hamerlinck: Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming : Can We Predict Vegetation Types from Environmental Variables? 661-666
• 
  Tsegaye Tadesse, Brian Wardlow: The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques. 667-672
• 
  Ranga Raju Vatsavai, Budhendra L. Bhaduri: A Hybrid Classification Scheme for Mining Multisource Geospatial Data. 673-678
• 
  Florian Verhein, Ghazi Al-Naymat: Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT. 679-684
• 
  Elizabeth Wu, Sanjay Chawla: Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation. 685-692

Privacy Aspects of Data Mining

• 
  Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti: Hiding Sensitive Trajectory Patterns. 693-698
• 
  Artak Amirbekyan, Vladimir Estivill-Castro: Privacy-Preserving k-NN for Small and Large Data Sets. 699-704
• 
  Geetha Jagannathan, Krishnan Pillaipakkamnatt, Daryl Umano: A Secure Clustering Algorithm for Distributed Data Streams. 705-710
• 
  Geetha Jagannathan, Rebecca N. Wright: Private Inference Control for Aggregate Database Queries. 711-716
• 
  Murat Kantarcioglu, Onur Kardes: Privacy-Preserving Data Mining Applications in the Malicious Model. 717-722
• 
  Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. Tibbits: Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. 723-728
• 
  Jie Wang, Jun Zhang, Lian Liu, Dianwei Han: Simultaneous Pattern and Data Hiding in Unsupervised Learning. 729-734

last updated on Tue May 21 02:03:12 2013 by the dblp team
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