Worskhop on
"Fuzzy is Scalable:
Managing Huge Databases Using Fuzzy Methods"

at the International Conference on Soft Computing as Transdisciplinary Science and Technology CSTST08

Organizers

Anne Laurent, LIRMM, Univ. Montpellier 2, France
Marie-Jeanne Lesot, LIP6, Univ. Paris 6, France

Summary

Fuzzy methods are in common use nowadays, as they provide tools to handle data sets in a relevant, robust and interpretable way. Yet they often suffer from the perception that they cannot address huge data bases, although it is not the case, as many applications, including industrial success stories, have shown: fuzziness and scalability are not antagonistic concepts.
The scalability issue indeed appears to be challenging when considering fuzzy methods as opposed to crisp ones, which is a counterpart to their improved flexibility and expression power. The application of fuzzy methods to huge data bases is often considered as inappropriate.
This issue has received attention from the research community and many methods have been proposed to address it from several points of view, including implementation of data structures and algorithmic approaches to handle complexity. The goal of the workshop is to review these scalable fuzzy methods and the up-to-date methods and algorithms that address this problem, showing that fuzzy logic is a very powerful approach to provide relevant results also for very large data bases within reasonable time and memory use.
The workshop will cover a wide scope of research areas where large data bases are queried, ranging from fuzzy data bases to fuzzy data mining and fuzzy control, and considering data bases of various types, including relational data, image, video or multimedia data as well as web data.
Selected papers will be published as book chapters in an edited book on Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design.

Topics include, but not limited to

Managing, Querying and Mining Very Large Fuzzy Databases
Fuzzy Mining in Very Large Databases
Fuzzy Stream Mining
Fuzzy Machine Learning
Fuzzy Information Retrieval
Fuzzy Semantic Web
Fuzzy Control
Fuzzy Logic and New Paradigms of Programming

Important dates

Full paper submission : July 15, 2008
Notification of Paper Acceptance: August 15, 2008
Camera Ready Papers Due: September 17, 2008
Author Registration: September 17, 2008
Conference Dates: October 28-31, 2008
Workshop Date: October 29, 2008 - 10:30 AM - 12:30 AM

Paper submission must follow the conferences guidelines: papers must be in ACM format with a limit of 6 pages.

Authors can submit their papers using the following website.
The papers will be published in the conference proceedings and indexed by the ACM Digital Library.

Program committee

B. BOUCHON-MEUNIER, University of Paris 6, France
F. DEL RAZO LOPEZ, Instituto Tecnológico de Toluca, Mexico
L. HALL, University of South Florida, USA
E. HULLERMEIER, Philipps-Universität Marburg, Germany
L. KOCZY, Budapest University of Technology and Economics, Hungary
R. KRUSE, Otto-von-Guericke-Universität Magdeburg, Germany
C. MARSALA, LIP6, University of Paris 6, France
T. MARTIN, University of Bristol, UK
P. PONCELET, EMA, France
O. PONS, University of Granada, Spain
M. RIFQI, LIP6, University of Paris 6, France
P. SOBREVILLA, Technical University of Catalonia, Spain
E. SANCHEZ, University of Méditerranée, France
M. TEISSEIRE, University of Montpellier 2, France
S. ZADROZNY, Polish Academy of Sciences, Poland.

Worskhop on "Fuzzy is Scalable: Managing Huge Databases Using Fuzzy Methods"