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Accepted Papers (new!) Chengying Miao. An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy Dan Zhang and Luo Si. Multiple Instance Transfer Learning. Pritam Chanda, Aidong Zhang and Murali Ramanathan. Mining of Attribute Interactions Using Information Theoretic Matrics. Shuo Chen, Bin Liu, Mingjie Qian and Changshui Zhang. Kernel K-means Based Framework for Aggregate Outputs Classification. Ke Tang and Rui Wang. Feature Selection for Maximizing the Area Under the ROC Curve. Jana Nononicova, Petr Somol and Pavel Pudi. A New Stability Measure for Feature Selection Algorithms. Hongliang Fei, Brian Quanz and Jun Huan. GLSVM: Integrating Structured Feature Selection and Large Margin Classification. Mingjie Qian, Feiping Nie and Changshui Zhang. Probabilistic Labeled Semi-supervised SVM. Kunal Punera and Suju Rajan. Inproving Multilabel Classification in Hierarchical Taxonomies. Gregory Moore, Charles Bergeron and Kristin Bennett. Nonconvex Bilevel Programming for Hyperparameter Selection. Workshop Description Classical optimization techniques have found widespread use in solving traditional data mining problems, among which convex optimization has occupied the center-stage because of its elegant property of global optimum. Many problems can be casted into the convex optimization framework, such as Support Vector Machines, graph-based manifold learning, and clustering, which can usually be solved by convex Quadratic Programming, Semi-Definite Programming or Eigenvalue Decomposition.
As time goes by, new problems emerge constantly in data mining community, such as Time-Evolving Data Mining, On-Line Data Mining, Relational Data Mining and Transferred Data Mining. While at the same time fundamental problems such as classification and clustering continue to be better understand. Some of these recently emerged problems are more complex than traditional ones and are usually formulated as nonconvex problems. Therefore some general optimization methods, such as gradient descents, coordinate descents, convex relaxation, have come back to the stage and become more and more popular in recent years.
This workshop will present recent advances in optimization techniques for, especially new emerging, data mining problems, as well as the real-life applications among this community.One main goal of the workshop is to bring together leading
Topic Areas Topic areas for the workshop include (but are not limited to) the following: Methods and algorithms: Graph/Hypergraph based methods Matrix/Tensor based methods Kernel/graph kernel/structured kernel learning Large margin methods Large scale numerical optimization Randomized algorithms Sparse algorithms, compressive sensing Regularization techniques Theoretical advances Application areas Collaborative filtering Genomics and Bioinformatics by fusing different information sources Information search and extraction from Web using different domain knowledge Scientific computing and computational sciences Sensor network Social information retrieval by fusing different information sources Social Networks analysis
Program Committee Members (Tentative) Ian Davidson, University of California, Davis Bin Gao, Microsoft Research Asia Heng Huang, University of Texas at Arlington Brian Kulis, University of California at Berkeley James Kwok, Hongkong University of Science and Technology Jie Tang, Tsinghua University, China Dacheng Tao, Nanyang Technological University, Singapore Fei Sha, University of Southern California Vikas Sindhwani, IBM T. J. Watson Research Lab Masashi Sugiyama, Tokyo Institute of Technology Jimeng Sun, IBM T. J. Watson Research Lab Yangqiu Song, IBM Research China Gang Wang, Microsoft Research Asia Linli Xu, University of Alberta, Canada Shuicheng Yan, National University of Singapore Kai Zhang, Lawrence Berkeley National Lab
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ICDM 2009 Workshop on Optimization Based Methods for Emerging Data Mining Problems (OEDM09) |
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Important Dates ▪ 07/17/09: Paper Submission ▪ 09/08/09: Paper Notification ▪ 09/28/09: Camera Ready Due ▪ 12/06/09: Workshop Date |
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Highlights ▪ 05/13/09: Webpage Kickoff ▪ 06/01/09: PC Members Pasted
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Organizers General Chairs ▪ Chris Ding, University of ▪ Shi Yong, University of Program Chairs ▪ Tao Li, Florida International ▪ Fei Wang, Florida International
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