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[PVS] [Deadline Extension] Final CFP: The 7th InternationalConference on Advanced Data Mining and Applications (ADMA'11)

Dear Colleagues:


Final Call for Papers and Deadline Extension Announcement
***Apologies for cross-posting***

The 7th International Conference on Advanced Data Mining and
Applications (ADMA 2011)
December 17-19, 2011, Tsinghua University, Beijing, China

---------------------------- Call for Papers ----------------------------

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*, IF>1.7).
 - High-quality papers that address cutting-edge data mining
algorithms and applications will be recommended for possible inclusion
in Frontiers of Computer Science (indexed by *SCIE*).
 - 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:
 - Extended Abstract Deadline:     July 17, 2011
 - Extended Submission Deadline:  July 21, 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

* Special Tracks:
The conference features two special tracks: industry track and online
user behavior modeling track.
 - The Industry Track aims to encourage and seek solutions to
practical challenges and issues in applying research to real industry
systems. This track solicits research of the following

topics: business intelligence, social media, mobile and wireless
applications, E-commerce, healthcare, multi-media, web application,
telecommunication and sensor networks etc.
 - The Online User Behavior Modeling Track aims to provide a forum for
researchers and practitioners to showcase their innovation and efforts
on the research of user online behavior

mining. Topics of interest include, but are not limited to: search
task and intent mining, query reformulation and query suggestion,
entity extraction and disambiguation, topic and event

detection, microblog search and mining, collaborative filtering and
recommender systems, opinion mining, spam social media detection, user
browsing pattern mining, social tagging

behavior mining, and computational advertising etc.

* 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:
  Zhichun Wang (Tsinghua U.)
  email: adma11thu@gmail.com
  fax: 86010-62794365
  website: http://adma2011.arnetminer.org/