Workshop on Issues in the Integration of Data Mining and Data Visualization

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Last updated: March 23, 1997 by grinstein@cs.uml.edu

Workshop on Issues in the Integration of Data Mining and Data Visualization

The first and second Workshop on Database Issues for Data Visualization were held in conjunction with the 1993 and 1995 IEEE Visualization Conferences and were very successful. The proceedings of these workshops were published by Springer-Verlag in the Lecture Notes in Computer Science Series (Vol. 871, 1995, Lee and Grinstein, Editors; Vol. 1183, 1996, Wierse, Grinstein, and Lang, Editors). This third workshop on issues in the integration of data mining and data visualization will be held during the 1997 AAAI KDD Conference and the 1997 IEEE Visualization Conference.

There are many issues to be resolved and much research is needed. It is clear that data mining and the larger problem of knowledge discovery is not user centered and lacks the interactive environments we are now all too familiar with. How to involve the user, where to involve the user, and under what circumstances to involve the user are all key problems, and visualization may provide the answer.

The purpose of the workshop again will be to provide a forum for the presentation, discussion, and evaluation of systems (conceptual, prototype, or products) that attempt to integrate data mining and data visualization in pursuit of knowledge discovery in the process of data exploration. We invite researchers in the knowledge discovery in databases and the visualization fields, along with application developers, to join us in discussions on enabling tools for the exploration, analysis, and visualization of complex data and systems. It is imperative that such cross-fertilization occur for mining and visualization tools to better fit the task they are designed for.

AAAI KDD'97 CONFERENCE

The rapid growth of data and information has created a need and an opportunity for extracting knowledge from databases. Knowledge discovery in databases (KDD), also referred to as data mining, is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems. This conference brings together researchers and application developers from different areas focusing on unifying themes.

The conference is sponsored by AAAI in cooperation with the American Statistical Association.

IEEE VISUALIZATION'97 CONFERENCE

Scientific visualization is an important research frontier shared by a variety of computational science and engineering fields. Visualization work is both interdisciplinary and a field in its own right. This conference focuses on interdisciplinary methods and supports collaboration among the developers and users of visualization methods across all of science, engineering, and commerce.

The conference is sponsored by the IEEE Computer Society Technical Committee on Computer Graphics, in cooperation with ACM SIGGRAPH.

WORKSHOP DESCRIPTION

Data Visualization deals with the effective portrayal of data with a goal towards insight about the data. Typically, the data is of high volume, multidimensional in nature, and does not lend itself to easy display. The data is also often non-spatial and temporal in nature.

Data visualization software systems are very popular with end-user domain scientists who require visual tools to explore and analyze their data. These visual tools however are used strictly as output of the exploration process and have received much attention whereas the input issues to the exploration process still have not. The KDD community looks at visualization as an back-end of the exploration process; the visualization community looks at KDD and analytic methods also as applications to generate displays. However visualization can be used as input to KDD and analytic tools; it can also be used to support computational steering. This workshop will continue the discussions started at the first two workshop and focus on these and other issues that make a case for integrating KDD and visualization technologies.

Participation is limited to 20 people.

Two previous Workshops (Siggraph '90 and Visualization '91) have dealt with areas such as high-level requirements for data structures and access software, and data visualization environments. The first and second workshop on Database Issues for Data Visualization were held in 1993 and 1995 and explored the fundamental issues. A number of experimental, prototype, and research systems were presented. The second workshop also saw a beginning interest with data mining and visualization integration. This trend so significant in the commercial sector today is in its infancy and is in need of much research attention.

Position Statements and papers are welcome on the following issues as they relate to KDD and data visualization integration - we would like to keep discussions focused on the end result, which is improving the integration of data mining and knowledge discovery systems with visualization:

WORKSHOP FORMAT

The Workshop format allows for the formal presentation of the papers in the morning session (accepted papers will be included in preprints). These presentations are designed to serve as catalysts for discussion. In addition, there will be a few invited papers and several afternoon subgroup discussion sessions. Participants will have an opportunity to edit and resubmit their papers for possible post-workshop publication.

PAPER SUBMISSIONS (Deadlines: KDD'97 - June 15)

Papers (and position papers to be expanded for final publication) are solicited that present research results in the integration of data mining and visualizaton. Papers should be limited to 5,000 words and may be accompanied by NTSC video. These should describe some original research on the particular subject, and how it fits in with the overall theme of the workshop. Proper references should be cited.

Submissions may be post-mailed to:

Georges Grinstein Institute for Visualization and Perception Research University of Massachusetts at Lowell Lowell MA 01854 - USA

Hard Copy: 2 copies of original, double spaced Electronic Copy (preferred): Ascii, Microsoft Word.

Email or call with specific requests:

(617) 271-7714 days (508) 386-2296 nights grinstein@cs.uml.edu

ACCOMMODATION AND OTHER DETAILS FOR KDD'97

KDD'97

MEALS AND REFRESHMENTS

Coffee and tea breaks will be provided.

REGISTRATION FEE

Registration forms will be sent to the accepted participants. There is a single registration fee of US $100 which covers the workshop sessions, the workshop preprints, and morning and afternoon coffees. Payment: the registration fee can be paid in any convertible currency by either cash, check or money order.

WORKSHOP ORGANIZERS:

Georges Grinstein

Institute for Visualization and Perception Research

University of Massachusetts at Lowell

Lowell, MA 01854 USA

email: grinstein@cs.uml.edu

fax: +1-508-934-3551 phone: +1-508-934-3627

Andreas Wierse

Institute for Computer Applications

Dep. Computersimulation and Visualization

Pfaffenwaldring 27

D-70550 Stuttgart Germany

email: wierse@rus.uni-stuttgart.de

fax: +49(0)711-682357 phone: +49-711-685-5796

Usama Fayyad

Decision Theory & Adaptive Systems Group

Microsoft Research

Redmond, WA 98052-6399, USA

e-mail: fayyad@microsoft.com

fax: +1-206-936-7329 phone +1-206-703-1528

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