9. ICDM Workshops 2009: Miami, Florida, USA

Domain Driven Data Mining

• Mohammad Salim Ahmed, Latifur Khan:
  SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering. 1-6
  
• Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani:
  High Quality True-Positive Prediction for Fiscal Fraud Detection. 7-12
  
• Toon Calders, Faisal Kamiran, Mykola Pechenizkiy:
  Building Classifiers with Independency Constraints. 13-18
  
• Jonathan Klinginsmith, Malika Mahoui, Yuqing Wu, Josette F. Jones:
  Discovering Domain Specific Concepts within User-Generated Taxonomies. 19-24
  
• Wei Liu, Sanjay Chawla:
  A Game Theoretical Model for Adversarial Learning. 25-30
  
• Fumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa:
  Discovery of Quantitative Sequential Patterns from Event Sequences. 31-36
  
• Houssam Nassif, Ryan Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page:
  Information Extraction for Clinical Data Mining: A Mammography Case Study. 37-42
  
• Thao Pham Thanh Nguyen, Takahiro Hayashi, Rikio Onai, Yuhei Nishioka, Takamasa Takenaka, Masaya Mori:
  A New Minimally Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects Discussed in Customer Reviews. 43-50
  
• Yakub Sebastian, Brian Chung Shiong Loh, Patrick Hang Hui Then:
  A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain. 51-57
  
• Masaki Shinoda, Tomonobu Ozaki, Takenao Ohkawa:
  Weighted Frequent Subgraph Mining in Weighted Graph Databases. 58-63
  
• Daria Sorokina, Rich Caruana, Mirek Riedewald, Wesley M. Hochachka, Steve Kelling:
  Detecting and Interpreting Variable Interactions in Observational Ornithology Data. 64-69
  
• Peerapon Vateekul, Kanoksri Sarinnapakorn:
  Tree-Based Approach to Missing Data Imputation. 70-75
  
• Shuo Wang, Xin Yao:
  Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. 76-81
  
• Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao:
  Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. 82-87
  
• Zheng Zhao, Shashvata Sharma, Nitin Agarwal, Huan Liu, Jiangxin Wang, Yung Chang:
  Integrating Knowledge in Search of Biologically Relevant Genes. 88-93
  
• Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy:
  Towards Context Aware Food Sales Prediction. 94-99
  

Privacy Aspects of Data Mining

• Piotr Andruszkiewicz:
  Privacy Preserving Classification with Emerging Patterns. 100-105
  
• Jacob Goldberger, Tamir Tassa:
  Efficient Anonymizations with Enhanced Utility. 106-113
  
• Geetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright:
  A Practical Differentially Private Random Decision Tree Classifier. 114-121
  
• Darakhshan J. Mir, Rebecca N. Wright:
  A Differentially Private Graph Estimator. 122-129
  
• Michal Sramka, Reihaneh Safavi-Naini, Jörg Denzinger:
  An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners. 130-137
  
• Duy Vu, Aleksandra Slavkovic:
  Differential Privacy for Clinical Trial Data: Preliminary Evaluations. 138-143
  

Internet Multimedia Mining

• Hrishikesh Aradhye, George Toderici, Jay Yagnik:
  Video2Text: Learning to Annotate Video Content. 144-151
  
• Guiguang Ding, Jianmin Wang, Na Xu, Lu Zhang:
  Automatic Image Annotations by Mining Web Image Data. 152-157
  
• Bo Geng, Linjun Yang, Chao Xu:
  A Study of Language Model for Image Retrieval. 158-163
  
• Hao Li, Meng Wang, Xian-Sheng Hua:
  MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset. 164-169
  
• Qifeng Qiao, Peter A. Beling:
  Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning. 170-175
  
• Kimiaki Shirahama, Chieri Sugihara, Kana Matsumura, Yuta Matsuoka, Kuniaki Uehara:
  Mining Event Definitions from Queries for Video Retrieval on the Internet. 176-183
  
• Si Si, Dacheng Tao, Kwok-Ping Chan:
  Cross-Domain Web Image Annotation. 184-189
  
• Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel:
  TubeTagger - YouTube-based Concept Detection. 190-195
  
• Bo Wang, Jinqiao Wang, Shi Chen, Ling-Yu Duan, Hanqing Lu:
  Semantic Linking between Video Ads and Web Services with Progressive Search. 196-201
  
• Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo:
  Mining Personal Image Collection for Social Group Suggestion. 202-207
  

Knowledge Discovery from Climate Data: Prediction, Extremes and Impacts

• Dima Alberg, Mark Last, Roni Neuman, Avi Sharon:
  Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data. 208-213
  
• David Erickson, Jamison Daniel, Melissa Allen, Auroop Ganguly, Forrest Hoffman, Steven Pawson, Lesley Ott, Eric Neilson:
  Data Mining Geophysical Content from Satellites and Global Climate Models. 214-216
  
• Hai Jin, Diansheng Guo:
  Understanding Climate Change Patterns with Multivariate Geovisualization. 217-222
  
• Shih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser:
  Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate. 223-230
  
• Chris Mattmann, Daniel J. Crichton, Amy Braverman, Dean Williams, Michael Gunson, David Woollard, Sean C. Kelly, Michael Cayanan:
  A Distributed Computing Infrastructure for the Evaluation of Climate Models Using NASA Observational Data. 231-232
  
• Kristin Potter, Andrew Wilson, Peer-Timo Bremer, Dean Williams, Charles Doutriaux, Valerio Pascucci, Chris R. Johnson:
  Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data. 233-240
  
• Khachik Sargsyan, Cosmin Safta, Bert J. Debusschere, Habib N. Najm:
  Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. 241-247
  
• Raquel Sebastião, Pedro Pereira Rodrigues, João Gama:
  Change Detection in Climate Data over the Iberian Peninsula. 248-253
  
• Dean N. Williams, Charles M. Doutriaux, Robert S. Drach, Renata B. McCoy:
  The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation Data. 254-261
  

Large-Scale Data Mining: Theory and Applications - Long Presentations

• Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda:
  Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. 262-269
  
• Ying Chen, W. Scott Spangler, Jeffrey T. Kreulen, Stephen Boyer, Thomas D. Griffin, Alfredo Alba, Amit Behal, Bin He, Linda Kato, Ana Lelescu, Cheryl A. Kieliszewski, Xian Wu, Li Zhang:
  SIMPLE: A Strategic Information Mining Platform for Licensing and Execution. 270-275
  
• Tianyuan Chen, Lei Chang, Jianqing Ma, Wei Zhang, Feng Gao:
  HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware. 276-281
  
• Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu:
  Why Naive Ensembles Do Not Work in Cloud Computing. 282-289
  
• B. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos:
  EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. 290-295
  
• Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel:
  Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. 296-301
  
• Yuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal Nigam:
  Scalable Attribute-Value Extraction from Semi-structured Text. 302-307
  

Large-Scale Data Mining: Theory and Applications - Short Presentations

• Daniel Gillblad, Rebecca Steinert, Diogo R. Ferreira:
  Estimating the Parameters of Randomly Interleaved Markov Models. 308-313
  
• Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda:
  Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. 314-319
  
• Peerapon Vateekul, Miroslav Kubat:
  Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. 320-325
  
• Zuobing Xu, Christopher Hogan, Robert Bauer:
  Greedy is not Enough: An Efficient Batch Mode Active Learning Algorithm. 326-331
  
• Shengqi Yang, Bai Wang, Haizhou Zhao, Bin Wu:
  Efficient Dense Structure Mining Using MapReduce. 332-337
  
• Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu:
  Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. 338-343
  
• Bin Zhao, Changshui Zhang:
  Compressed Spectral Clustering. 344-349
  

Optimization-Based Methods for Emerging Data Mining Problems

• Pritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
  Mining of Attribute Interactions Using Information Theoretic Metrics. 350-355
  
• Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
  Kernel K-means Based Framework for Aggregate Outputs Classification. 356-361
  
• Hongliang Fei, Brian Quanz, Jun Huan:
  GLSVM: Integrating Structured Feature Selection and Large Margin Classification. 362-367
  
• Chengying Mao:
  An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy. 368-373
  
• Gregory M. Moore, Charles Bergeron, Kristin P. Bennett:
  Nonsmooth Bilevel Programming for Hyperparameter Selection. 374-381
  
• Jana Novovicová, Petr Somol, Pavel Pudil:
  A New Measure of Feature Selection Algorithms' Stability. 382-387
  
• Kunal Punera, Suju Rajan:
  Improved Multi Label Classification in Hierarchical Taxonomies. 388-393
  
• Mingjie Qian, Feiping Nie, Changshui Zhang:
  Probabilistic Labeled Semi-supervised SVM. 394-399
  
• Rui Wang, Ke Tang:
  Feature Selection for Maximizing the Area Under the ROC Curve. 400-405
  
• Dan Zhang, Luo Si:
  Multiple Instance Transfer Learning. 406-411
  

Transfer Mining

• Hidenao Abe, Shusaku Tsumoto:
  Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. 412-415
  
• Wei Bi, Yuan Shi, Zhen-zhong Lan:
  Transferred Feature Selection. 416-421
  
• Eric Eaton, Marie desJardins:
  Set-Based Boosting for Instance-Level Transfer. 422-428
  
• Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang:
  Knowledge Transfer among Heterogeneous Information Networks. 429-434
  
• Pu Wang, Carlotta Domeniconi:
  Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge. 435-440
  
• Fei Wang, Tao Li:
  Knowledge Transformation by Cross-Domain Belief Propagation. 441-446
  
• Indre, Ludmila I. Kuncheva:
  Determining the Training Window for Small Sample Size Classification with Concept Drift. 447-452
  

Semantic Aspects in Data Mining

• Cláudia Antunes:
  Pattern Mining over Star Schemas in the Onto4AR Framework. 453-458
  
• Ahmed K. Farahat, Mohamed S. Kamel:
  Document Clustering Using Semantic Kernels Based on Term-Term Correlations. 459-464
  
• Nizar R. Mabroukeh, Christie I. Ezeife:
  Semantic-Rich Markov Models for Web Prefetching. 465-470
  
• Amir Hossein Razavi, Stan Matwin, Diana Inkpen, Alexandre Kouznetsov:
  Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction. 471-476
  
• Shady Shehata:
  A WordNet-Based Semantic Model for Enhancing Text Clustering. 477-482
  
• Chengcui Zhang, Richa Tiwari, Wei-bang Chen:
  A Data Mining Method to Extract and Rank Papers Describing Coexpression Predicates Semantically. 483-488
  

Mining Multiple Information Sources

• Bahareh Bina, Oliver Schulte, Hassan Khosravi:
  LNBC: A Link-Based Naive Bayes Classifier. 489-494
  
• Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol Kargupta, Kirk D. Borne, Codrina Lauth, Florian Holz, Gerhard Heyer:
  TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents. 495-500
  
• Germain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada:
  Mining Multiple Satellite Sensor Data Using Collaborative Clustering. 501-506
  
• Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald:
  Feature Selection with High-Dimensional Imbalanced Data. 507-514
  
• Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava:
  Theoretically Optimal Distributed Anomaly Detection. 515-520
  
• Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel:
  Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. 521-526
  
• Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa:
  Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets. 527-532
  
• Tomonobu Ozaki, Takenao Ohkawa:
  Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases. 533-538
  
• Guangzhi Qu, Hui Wu:
  Bucket Learning: Improving Model Quality through Enhancing Local Patterns. 539-544
  
• Lisa Tan, Farshad Fotouhi, William I. Grosky, Horia F. Pop, Noureddine Mouaddib:
  Improving Similarity Join Algorithms Using Fuzzy Clustering Technique. 545-550
  
• Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
  Mining Data from Multiple Software Development Projects. 551-557
  
• Jianfei Wu, Anne Denton, Omar Elariss, Dianxiang Xu:
  Mining for Core Patterns in Stock Market Data. 558-563
  

Spatial and Spatiotemporal Data Mining - Regular Papers

• Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern:
  Spatio-temporal Multi-dimensional Relational Framework Trees. 564-570
  
• Guido Cervone, Anthony Stefanidis, Pasquale Franzese, Peggy Agouris:
  Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor Networks. 571-576
  
• Cheng Chang, Baoyao Zhou:
  Multi-granularity Visualization of Trajectory Clusters Using Sub-trajectory Clustering. 577-582
  
• Arie Croitoru:
  Deriving Low-Level Steering Behaviors from Trajectory Data. 583-590
  
• Diansheng Guo:
  Greedy Optimization for Contiguity-Constrained Hierarchical Clustering. 591-596
  
• Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh:
  Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. 597-603
  
• Shrikant Kashyap, Sujoy Roy, Mong-Li Lee, Wynne Hsu:
  FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data. 604-609
  
• Mirco Nanni, Roberto Trasarti:
  K-BestMatch Reconstruction and Comparison of Trajectory Data. 610-615
  
• Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li Lee, Mohan S. Kankanhalli:
  Analyzing Abnormal Events from Spatio-temporal Trajectories. 616-621
  
• Anthony Stefanidis, Caixia Wang, Lu Xu, Kevin M. Curtin:
  Multilayer Scene Similarity Assessment. 622-629
  
• Timothy A. Supinie, Amy McGovern, John Williams, Jennifer Abernathy:
  Spatiotemporal Relational Random Forests. 630-635
  
• Hyunjin Yoon, Cyrus Shahabi:
  Accurate Discovery of Valid Convoys from Moving Object Trajectories. 636-643
  

Spatial and Spatiotemporal Data Mining - Short Papers

• Zubin Abraham, Pang-Ning Tan:
  A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. 644-649
  
• Jason N. Bank, Olufemi A. Omitaomu, Steven J. Fernandez, Yilu Liu:
  Visualization and Classification of Power System Frequency Data Streams. 650-655
  
• Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Shruthi Bheemireddy, Nicolas H. Younan:
  Information Services and Middleware for the Coastal Sensor Web. 656-661
  
• Lamia Fattouh Ibrahim, Weam M. Minshawi, Isra Yosef Ekkab, Nehal Mahmoud Al-Jurf, Afnan Salem Babrahim, Samar Faisl Al-Halees:
  Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning Problem. 662-667
  
• Thomas Liebig, Christine Körner, Michael May:
  Fast Visual Trajectory Analysis Using Spatial Bayesian Networks. 668-673