7. ICDM Workshops 2007: Omaha, Nebraska, USA

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

• 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
  

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