KDD-2010 CfP for Pascal Network

Call for Participation
16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010)
July 25-28, 2010
Washington, DC

Key Dates
Early registration deadline: May 15, 2010
Regular registration deadline: June 30, 2010

Registration: http://www.kdd.org/kdd2010/registration.shtml
Accepted Papers: http://www.kdd.org/kdd2010/papers.shtml
Workshops: http://www.kdd.org/kdd2010/workshops.shtml
Tutorials: http://www.kdd.org/kdd2010/tutorials.shtml
KDD Cup: http://www.kdd.org/kdd2010/kddcup.shtml


The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
will be held in Washington, DC on July 25-28, 2010. KDD is the
premier international forum for data mining researchers and
practitioners from academia, industry, and government to share their
ideas, research results and experiences. KDD-2010 will feature
keynote presentations, oral paper presentations, poster sessions,
workshops, tutorials, panels, exhibits, demonstrations, and the KDD
Cup competition.


The conference will feature 102 Research Track papers and 20
Industrial and Government Track papers. In addition to oral
presentations, all papers will be showcased during evening poster
sessions. Full details are available at


* Mining and Learning with Graphs Workshop 2010 (MLG-2010)
* Large-scale Data Mining: Theory and Applications (LDMTA-2010)
* Useful Patterns (UP)
* Social Media Analytics (SOMA 2010)
* KDD Cup 2010: Improving Cognitive Models with Educational Data
Mining (KDD Cup 2010)
* 9th International Workshop on Data Mining in Bioinformatics (BIOKDD10)
* Tenth International Workshop on Multimedia Data Mining(MDMKDD 2010)
* The Fourth International Workshop on Data Mining and Audience
Intelligence for Online Advertising (ADKDD’10)
* Human Computation Workshop (HCOMP 2010)
* ACM SIGKDD Workshop on Intelligence and Security Informatics (ISI-KDD)
* The 4th International Workshop on Knowledge Discovery from Sensor
Data (SensorKDD)
* The 4th SNA-KDD Workshop on Social Network Mining and Analysis (SNAKDD 2010)
* Novel Data Stream Pattern Mining Techniques (StreamKDD)
* Discovering, Summarizing and Using Multiple Clusterings (MultiClust)


* Large-scale Data Mining: MapReduce and Beyond; Jimeng Sun (IBM
Research), Spiros Papadimitriou (IBM Research), Rong Yan (Facebook)
* New Developments in the Theory of Clustering; Sergei Vassilvitskii
(Yahoo! Research), Suresh Venkatasubramanian (U. of Utah)
* Temporal Pattern Mining in Symbolic Time Point and Time Interval
Data; Fabian Moerchen (Siemens Corporate Research)
* A Tutorial on Learning through Exploration; Alina Beygelzimer (IBM
Research), John Langford (Yahoo! Research)
* Geometric Tools for Graph Mining of Large Social and Information
Networks; Michael W. Mahoney (Stanford)
* Mining Web Search and Browse Logs: Challenges, Methods, and
Applications; Daxin Jiang (Microsoft Research Asia), Jian Pei (SFU),
Hang Li (Microsoft Research Asia)
* Privacy-aware Data Mining in Information Networks; Kun Liu (Yahoo!
Research), Gerome Miklau (UMass), Jian Pei (SFU), Evimaria Terzi
(Boston U.)
* Introduction to Graphical Models for Data Mining; Arindam Banerjee
(U. of Minnesota)
* Mining Heterogeneous Information Networks; Jiawei Han (UIUC), Yizhou
Sun (UIUC), Xifeng Yan (UCSB), Philip S. Yu (UIC)
* Outlier Detection Techniques; Hans-Peter Kriegel (LMU Munich), Peer
Kroger (LMU Munich), Arthur Zimek (LMU Munich)
* Recommender Problems for Web Applications; Deepak Agarwal (Yahoo!
Research), Bee-Chung Chen (Yahoo! Research)
* Indexing and Mining Time Sequences; Christos Faloutsos (CMU), Lei Li (CMU)



We hope to see you in Washington, DC!