PMML Workshop – 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011)
Sunday August 21, 2011
Manchester Grand Hyatt
San Diego, CA
CALL FOR PAPERS IS NOW CLOSED
We invite submission of papers describing implementations of the Predictive Model Markup Language (PMML), including PMML deployment success stories, PMML-based applications, PMML-based architectures, proposed extensions to the PMML standard, and related topics. The primary emphasis is on papers that advance the understanding of practical, applied, or pragmatic issues related to the use of PMML in KDD-related technologies in industry and government. Applications can be in any field including, but not limited to: e-commerce, medical and pharmaceutical, defense, public policy, engineering, manufacturing, telecommunications, and government.
- Abstracts due:
April 30, 2011May 15, 2011
- Papers due:
May 15, 2011May 31, 2011
- Acceptance notification:
May 31, 2011June 15, 2011
- Final Camera Ready Paper Due: June 20, 2011
- Website: http://kdd2011-pmml.dmg.org
Guidelines for Papers:
- Submission and reviewing will be handled electronically.
- All submissions must be in PDF format and must not exceed 10MB in size. Abstracts should be no more than 2000 characters.
- Papers should be no more 9 pages total in length where up to 8 pages (including appendices, if any) are used for the content of the paper and the final page is used only for references. The format is the standard double-column ACM Proceedings Style. Additional information about formatting and style files are available online at: http://www.acm.org/sigs/publications/proceedings-templates. Papers that do not meet the formatting requirements will be rejected.
- Abstracts and Papers should be emailed to: firstname.lastname@example.org
- Papers submitted to KDD 2011 should be original work and substantively different from papers that have been previously published or are under review in a journal or another peer-reviewed conference.
On behalf of the PMML Workshop Organizers:
- Rick Pechter (MicroStrategy), Chair
- Robert Grossman (Open Data Partners and University of Chicago)
- Christoph Lingenfelder (IBM)
- Ashok Savasere (SAS)
- Michael Zeller (Zementis)