The ACM SIGKDD conference has established itself as the premier international conference on knowledge discovery and data mining. To continue with this tradition, the twelfth ACM SIGKDD conference will provide a forum for researchers and practitioners from academia, industry, and government to share their research and experience. The SIGKDD conference will feature keynote presentations, oral paper presentations, poster presentations, workshops, tutorials, and panels, as well as the KDD Cup competition. KDD-2006 will also award scholarships to selected students to help defray the cost of participating in the conference.
Papers on all aspects of knowledge discovery and data mining are solicited. Areas of interest include, but are not limited to:
Applications of data mining (biomedicine, business, e-commerce, defense)
Data and result visualization
Data mining for community generation, social network analysis and graph-structured data
Foundations of data mining
Interactive and online data mining
KDD framework and process
Mining data streams
Mining high-dimensional data
Mining sensor data
Mining text and semi-structured data
Mining multi-media data
Novel data mining algorithms
Privacy and data mining
Robust and scalable statistical methods
Pre-processing and post-processing for data mining
Spatial and temporal data mining
Electronic abstract submission: March 3, 2006 Electronic paper submission: March 10, 2006 Author notification: May 23, 2006 Conference dates: August 20-23, 2006
Abstracts and full papers must be submitted electronically at https://msrcmt.research.microsoft.com/KDD2006/. Papers must be no more than 10 pages in length, inclusive of all figures, tables, references and appendices. Papers should be submitted in ACM proceedings format (two columns, 9pt font, approx. 1in margins). Templates are available at http://www.acm.org/sigs/pubs/proceed/template.html. Papers must be submitted in PDF format. Authors are solely responsible for ensuring that their submissions display and print properly.
All papers will be judged based on their technical merit, significance, originality, relevance to KDD, and presentation clarity. Papers submitted to KDD-06 should be original work, not previously published in a peer-reviewed conference or journal. Papers substantially similar to papers submitted to KDD-06 should not be under review for another peer-reviewed conference or journal during the KDD-06 reviewing period.
We will make an exception for the specific case of ECML/PKDD-06, however. Since the submission date for these conferences is shortly before the decision date for KDD-06, papers submitted to KDD-06 may also be submitted to ECML/PKDD-06 with the provision that papers or posters accepted to KDD-06 will be withdrawn from ECML/PKDD-06.