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以文本方式查看主题 - 中文XML论坛 - 专业的XML技术讨论区 (http://bbs.xml.org.cn/index.asp) -- 『 人工智能 :: 机器学习|数据挖掘|进化计算 』 (http://bbs.xml.org.cn/list.asp?boardid=62) ---- ADMA2011:The 7th International Conference on Advanced Data Mining and Applications[公告] (http://bbs.xml.org.cn/dispbbs.asp?boardid=62&rootid=&id=91548) |
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-- 作者：boshi2010 -- 发布时间：6/28/2011 9:18:00 PM -- ADMA2011:The 7th International Conference on Advanced Data Mining and Applications[公告] ========================================== 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. 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. 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 Submissions and Important Dates - Submission Deadline: July 7, 2011 - Notification of Acceptance: September 7, 2011 - Camera Ready Submission Due: September 23, 2011 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 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 General enquiries: |
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