posted by system || 10843 views || tracked by 42 users: [display]

KDD 2008 : The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

FacebookTwitterLinkedInGoogle


Conference Series : Knowledge Discovery and Data Mining
 
Link: http://www.sigkdd.org/kdd2008/
 
When Aug 24, 2008 - Aug 27, 2008
Where Las Vegas, USA
Abstract Registration Due Feb 22, 2008
Submission Deadline Feb 29, 2008
Notification Due May 25, 2008
Categories    databases   data mining   knowledge discovery
 

Call For Papers

General Chair: Ying Li (Microsoft Corporation)
Program Co-Chairs: Bing Liu (University of Illinois at Chicago)
Sunita Sarawagi (Computer Science and Engineering, IIT Bombay)
Industrial & Government Track Co-Chairs: Volker Tresp (Siemens AG)
Chris Volinsky (AT&T Labs - Research)
Local Arrangements Co-Chairs: Jeff Jonas (IBM Corporation)
Teresa Mah (Microsoft Corporation)
Panel Chair: Alexander Tuzhilin (New York University)
Tutorial Chair: Philip S. Yu (IBM T.J. Watson Research Center)
Workshop Chair: Eamonn Keogh (University of California, Riverside)
Sponsorship Chair: Karl Rexer (Rexer Analytics)
Best Paper Award Chair: Christos Faloutsos (Carnegie Mellon University)

Related Resources

KDD 2020   KDD 2020
AVC 2020   Advances in Vision Computing: An International Journal
CISDM 2020   2020 2nd Euro-Asia Conference on Information System and Data Mining (CISDM 2020)
IEEE-CVIV 2020-Ei/Scopus 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
ECML PKDD 2020   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
MLDM 2021   17th International Conference on Machine Learning and Data Mining
WSDM 2021   14th ACM Conference on Web Search and Data Mining
ICDM 2021   21th Industrial Conference on Data Mining
IEEE-CTISC 2020-Ei/Scopus 2020   2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2020)
KDD-MLF 2020   ACM SIGKDD Workshop on Machine Learning in Finance