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========================================== Call for Papers ***Apologies for cross-posting*** The 7th International Conference on Advanced Data Mining and Applications (ADMA 2011) 17-19 December 2011, Tsinghua University, Beijing, China http://adma2011.arnetminer.org --------------------------------------------------------------------- The 7th International Conference on Advanced Data Mining and Applications (ADMA 2011) aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining. * Proceedings/Publications: - The proceedings of the conference will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI. - A selected number of the accepted papers will be expanded and revised for possible inclusion in Data & Knowledge Engineering (indexed by *SCI*). - High-quality papers that particularly address the intelligent systems issues will be highly recommended for ACM Transactions on Intelligent Systems and Technology (*ACM TIST*) publication in their extensions in rapid review and publication. * Keynotes: - Philip S. Yu, Department of Computer Science, University of Illinois Chicago - Wolfgang Nejdl, Director of L3S Research Center, University of Hannover - Stefan Decker, National University of Ireland * Important Dates: - Submission Deadline: July 7, 2011 - Notification of Acceptance: September 7, 2011 - Camera Ready Submission Due: September 23, 2011 * Topics: We call for papers on any topics of advanced data mining and applications, including but not limited to: Advanced Data Mining Topics - Social network mining - Social search and analysis - Collective intelligence in the social Web - Parallel and distributed data mining algorithms - Mining on data streams - Graph and subgraph mining - Methodologies on large-scale data mining - Text, video, multimedia data mining - Web mining - High performance data mining algorithms - Modeling complex social systems - Evolution of social communities and social media - Collaborative filtering in social networks - Data mining visualization - Security and privacy issues - Competitive analysis of mining algorithms - Data Mining Applications Social Network Applications - Scalable data preprocessing and cleaning techniques - Data mining systems in finance, sciences, retail, e-commerce - Emerging applications of large-scale data mining - Empirical study of data mining algorithms - Parallel data mining applications - DNA sequencing, bioinformatics, genomics, and biometrics - E-commerce and Web services - Medical informatics - Disaster prediction - Financial market analysis - Intelligent system - Application of data mining in education * Organizing Committee: --------------------- General co-chairs: - Deyi Li, Chinese Academy of Engineering - Bing Liu, Department of Computer Science, University of Illinois at Chicago - Charu C. Aggarwal, IBM T. J. Watson Research Center PC co-chairs: - Jie Tang, Department of Computer Science, Tsinghua University - Jianyong Wang, Department of Computer Science, Tsinghua University - Irwin King, Department of Computer Science and Engineering, The Chinese University of Hong Kong Regional Organization co-chairs: - Ruoming Jin, Computer Science Department, Kent State University - Ee-Peng Lim, School of Information Systems, Singapore Management University - Marie-Francine Moens, Department of Computer Science of K.U. Leuven - Jimeng Sun, IBM TJ Watson lab - Hwanjo Yu, Computer Science Department University of Iowa - Xingquan Zhu, University of Technology Sydney[/size][/size]

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