SIGKDD

ACM Special Interest Group on Knowledge Discovery and Data Mining

Upcoming Issue

Special Issue on Open Source Analytics and the Interoperability of Analytic Applications
Guest Editors: Robert Grossman

SIGKDD Explorations (Volume 11, Issue 1) will be available June 2009.

IMPORTANT DATES

Submission Deadline: March 4, 2009
Acceptance notice: April 10, 2009
Camera-ready due: May 8, 2009
Publication: June 2009 issue

DESCRIPTION

ACM SIGKDD Explorations seeks original manuscripts for a Special Issue on Open Source Analytics and the Interoperability of Analytic Applications, scheduled to appear in June 2009.

As a community, we have a good understanding today of a variety of powerful and effective data mining and statistical algorithms. On the other hand, deploying the models produced by these algorithms in production systems, embedding these algorithms into systems and applications, and otherwise making practical use of these algorithms is often a challenge. Several different approaches to this challenge have been developed over the past several years, including extending databases to incorporate data mining functionality, stand-alone scoring engines that read xml descriptions of models and score streams of data, and service-based architectures that support analytics as a service. In many of these approaches, a critical role is played by open source applications and middleware.

The special issue will include both invited and contributed papers on open source software and middleware for data mining and knowledge discovery, as well as architectures and standards that support that deployment and the interoperability of analytics.

Topics of interest for this special issue include, but are not limited to:

  • Standards for interoperability of analytic software
  • Architectures that support the interoperability of analytic software and applications
  • Open source data mining systems
  • Scoring engines
  • Database support for analytics
  • Open source middleware and systems for data preparation and data shaping
  • Open source middleware and systems for deploying statistical and data mining models
  • Analytics as a service
  • Other Related topics

SUBMISSION GUIDELINES

Submissions should be emailed to opensourceanalytics at labcomputing.org, preferably in a PDF format and should not exceed 10 pages. In addition, please email the authors, title, abstract and contact information for the corresponding author in ascii text to the same address.

Submissions will be reviewed externally.

Detailed formatting instructions and templates are available from: http://www.acm.org/sigs/sigkdd/explorations/submissions.php
Submissions will be reviewed externally.

Please address the correspondence regarding this special issue to the Guest Editor:

Robert L Grossman, University of Illinois at Chicago and Open Data Group opensourceanalytics at labcomputing.org.

ADDITIONAL SUBMISSIONS

We also invite articles of general interest to the SIGKDD community that might fall outside the special issue theme. Submissions can be made in any one of the following categories.

  • survey/tutorial articles (short) on important topics not exceeding 15 pages
  • topical articles on problems and challenges
  • well-articulated position papers
  • technical articles not exceeding 15 pages.
  • book reviews
  • news items on the order of 1-3 paragraphs
  • Brief announcements not exceeding 5 lines in length.
  • review articles of products and methodologies not exceeding 20 pages
  • reviews/summaries from conferences, panels and special meetings.
  • PhD dissertation abstracts not exceeding 2 pages
  • reports on relevant meetings and committees related to the field
  • for-pay advertisements