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Data Mining Standards, Services and Platforms

来源: 作者:unkonwn 时间:2004-11-25 点击:

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)

数据挖掘研究院

August 20-23, 2006, Philadelphia, PA
...
Workshop Submission Deadline: June 18, 2006
 
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
数据挖掘研究院
Submission Guidelines:
Please submit your paper or presentation abstract electronically via email to connelly@uic.edu by June 18, 2006.    
The program committee will review all submissions and accepted presentations will be made during the workshop on August 20.  Papers and/or presentations (e.g., PowerPoint) will be published in the workshop proceedings.   The program committee will notify authors of their acceptance or rejection by July 10, and cameral ready versions of the papers/presentations will be due on July 20.
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:

      June 18, 2006       Deadline for electronic submission papers or abstracts
July 10, 2006 Notification of accepted presentations
July 20, 2006 Camera Ready Copies Due
August 20, 2006 DM-SSP Workshop


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
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