Tuesday, September 12, 2000


Chair: Jan Rauch, University of Economics, Prague

Workshop 1
Chairs: Pavel Brazdil
Alipio Jorge,
University of Porto, Portugal 

email: pbrazdil@ncc.up.pt

Deadline : July 17th,  2000 

Title: Data Mining, Decision Support, Meta-learning and ILP: Forum for Practical Problem 
Presentation and Prospective Solutions Time. 
Description :
The objective is to provide a forum for interchange of ideas between researchers and representatives of companies involved in applying the existing technologies in solving of real problems. Researchers will describe their experience in applying the methodologies to problems of commercial, industrial and social interest. The representatives of companies will describe not only their success stories, but also concerns about the directions the research should follow.
Website: http://www.ncc.up.pt/~ltorgo/ML_group.htmls/Events/DDMI/ 

Workshop 2
Chairs: John F. Roddick, Flinders U., South Australia 
Kathleen Hornsby, U.Maine, USA

 email: roddick@cs.flinders.edu.au,

Deadline : June 15th,  2000 

Title: PKDD Workshop on Temporal, Spatial  and Spatio-Temporal Data Mining (TSDM2000)
Description :
The workshop will focus on research and practice of knowledge discovery from datasets containing explicit or implicit temporal or spatial information. Main topics of the workshop are: temporal association rule mining, time and space-oriented sequence mining,temporal and spatial classification, mining from geographic and geo-referenced data, spatial data mining, spatial clustering methods, spatio-temporal data mining, KDD processes and frameworks specifically catering for temporal and spatial data mining. 
Website: http://www.spatial.maine.edu/TSDM2000/TSDM2000.html

Workshop 3
Chairs:Jan Komorowski, Norwegian University of Science andTechnology, Trondheim, Norway


Deadline : August 14th, 2000

Title:Knowledge Discovery in Biology.
Description :
The advent of high throughput screening, e.g. the so-called microarray technology, opens up for large-scale data acquisition from biological system experiments. New approaches and tools are required to support knowledge extraction from these large information pools. The goal of workshop is both to attract the attention of the KDD community to the challenges raised by biological research and to make the biologists aware of possible solutions that may be provided by the KDD field.
Website: http://www.idi.ntnu.no/~janko/KnowledgeDiscoveryInBiology.html

Workshop 4
Chairs:Hugo Zaragoza, LIP6, University Paris 6, France 
Patrick Gallinari, LIP6, University Paris 6, France 
Martin Rajman, EPFL, Switzerland

email: Hugo.Zaragoza@lip6.fr

Deadline July 10th, 2000

Title:Machine Learning and Textual Information Access 
Description :
As "Textual Information Access" we denote here both the emerging interdisciplinary community of researchers from different fields sharing interest in the textual data objects and machine or statistical learning techniques aiming to develop automatic text analysis systems. Among the main topics are: information retrieval and filtering, multi-media information access, topic detection and tracking, text summarisation, representation techniques of  textual information semantics, etc. 
Website: http://www-connex.lip6.fr/mltia2000.html

Workshop 5
Chairs: Jean-Louis Ermine, CEA Paris, France

email: ermine@cartier.cea.fr

Deadline : July 10th , 2000

Title:Knowledge Management: Theory and Applications
Description :
Knowledge management is the process of extracting knowledge from the sources accessible to persons in an organisation (structured data in databases, semi-structured data on the web and company documents, unstructured data in the brain of persons, multimedia data). The following  topics are involved: knowledge capture, knowledge synthesis, knowledge dissemination, models and methodologies for knowledge management, etc. 

Workshop 6
Chair: Edwin Diday, University of Paris Dauphine, 75016 France

email: diday@ceremade.dauphine.fr

Deadline : June 30th , 2000

Title: Symbolic Data Analysis: Theory, Software and Applications for Knowledge Mining
Description :
In many domains of human activities huge sets of data are now recorded in large data bases. Summarising these data by their underlying concepts (regions, towns or socio-demographic groups as unemployment type in Official statistics, species of insects in biology, kind of failures in industrial companies, scenario of accidents in road trafic, etc.) in order to extract knowledge, becomes a leading task. To describe these concepts, instead of standard units, more complex data called "symbolic data" are needed. "Symbolic data" happen not only in order to summarise huge sets of data but also from many other sources where internal variation of the units and structural data appear. As "Symbolic Data Analysis" we denote an emerging interdisciplinary community of researcher coming from Official Statistics, classification and Data Analysis techniques. Among the main topics are: how to extract these symbolic data from huge data bases, how to implement, analyse and visualise them, how to model concepts in their intent and their extent by "symbolic objects", how to disseminate them, etc. The Symbolic Data Analysis theory* is now enhanced by a prototype software tool called "SODAS" which results from the effort of 17 European teams sponsored by EUROSTAT. This new software is able first: to extract concepts from a data base, second: to analyse them. It will be presented and discussed in a tutorial training during the afternoon. The ISO-3D European consortium whose aim is to develop a Symbolic Data Analysis system with 3-D graphics, sound animation and temporal symbolic data, will also be presented and discussed.

Submissions :
The prospective participants interested to give a presentation concerning applications should contact the organizers by 30 June 2000.
Written submissions are required by 30 June
Acceptance notices will be sent by 15 July.
Final versions are due by 15 August.Workshop KDD.  
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