Workshop on

Data Mining Standards, Services and Platforms

August 20, 2006

Held in conjunction with
The 12th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2006)

August 20-23, 2006, Philadelphia, PA

...

DMSSP '06 Workshop Schedule for August 20.

Previous Proceedings:

DM-SSP '06 is the sixth KDD workshop focusing on standards, services, and platforms for data mining.   Motivating this workshop are a number of trends, including:

1. A number of standards have matured, including PMML, SQL/MMPart 6 for Data Mining, JDM, CRISP, and OMG CWM for Data Mining. It is timely to expose these standards to the community and to gather requirements through position papers and panels for new versions of these standards.

2. Web services, as well as maturing and emerging data mining standards, will enable standards-based data mining services for scoring, modeling, and exploration of data.  This workshop will also include this timely topic.

3. Work in related fields, including data grids, data webs, and semantic webs is very relevant to data mining but often not included in KDD per se.  This workshop will also provide an opportunity for work on data mining standards and services in these areas to be included.

If you are using standards and services to build production data mining and scoring systems, we encourage you to submit a paper or abstract to DM-SSP 06.   To encourage presentations from industry, we will accept abstracts for presentations, as well as papers, for consideration.

The workshop will cover a wide variety of areas, including:

Standards Based Data Mining Services:

• Scoring services
• Analysis services
• Data exploration services
• Statistical modeling services

Maturing Standards:

• Predictive Model Markup Language (PMML)
• XML for Analysis and OLE DB for Data Mining
• SQL/MM Part 6: Data Mining
• Java Data Mining (JDM) - Java Specification Request 73 (JSR-73)
• CRoss Industry Standard Process for Data Mining (CRISP-DM)
• OMG Common Warehouse Metadata (CWM) for Data Mining

Related Standards:

• Web services (SOAP/XML, WSRF, etc)
• Grid services (OGSA, OGSA/DAI, etc.)
• Semantic Web Standards (RDF, OWL, etc.)

Emerging Standards:

• Standards for KDD workflow
• Standards for data transformations
• Standards for real time data mining
• Standards for data webs

Standards Based Open Source Efforts:

• R
• Weka
• GNU Octave

Submission Guidelines:

Please submit your paper or presentation abstract electronically via email to connelly@uic.edu by June 18, 2006.    

Papers should be no longer than 12 pages, (or 5,000 words) inclusive of all references and figures. All papers must be submitted in either PDF (preferred) or postscript. Please ensure that any special fonts used are included in the submitted documents. All papers must be original, and have not been published elsewhere. Accepted papers must complete and submit a permission/release form by July 17.

Please use the prescribed formatting guidelines of KDD (ACM Template).

We would also like to encourage position papers and panel session suggestions. Given the non-academic nature of this workshop, we are looking for quality presentations even if they don't fall into the form of a traditional conference paper.

If you have any questions, please contact connelly@uic.edu.

Important Dates:

Organizing Committee:

• Dave Selinger, FortisForge.com
• Robert Grossman, Open Data Partners and University of Illinois at Chicago
• Rick Pechter, MicroStrategy
• Stefan Raspl, IBM
• Shirley Connelly, University of Illinois at Chicago