ECML/PKDD-2002 Workshop

IDDM-2002

2nd International Workshop on
Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning
Helsinki, Finland
19th August 2002

To be held in conjunction with
13th European Conference on Machine Learning (ECML'02)
6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)
19-23 August 2002
http://ecmlpkdd.cs.helsinki.fi/

This workshop addresses the integration and collaboration aspects of Data Mining (DM), Decision Support (DS) and Meta-Learning (ML). In particular, this workshop is aimed at trying to upgrade the corresponding approaches and methodologies, such as CRISP-DM, through contributions, addressing the following issues:

Combining Data Mining with Decision Support
Collaborative Data Mining
Combining Results of Classifiers, Meta-Learning, etc.
Relational Data Mining
DM, DS, and ML Integration: Methodological, Technical, and Standardization Aspects

See Call for Papers for more details.

Workshop Programme

The workshop consists of 19 refereed contributions and a discussion. There are 11 full papers, which are allowed up to 20 minutes for presentation, and 8 short papers, whose presentation is limited to 5 minutes. The idea is to bring researchers together to present current work and identify future areas of research and development.

This is a one-day workshop, taking place on Monday, 19th August 2002 in Sali 13. The schedule is as follows.

9:00 - 10:35 Session 1: Decision Support, Aspects of Data Mining and Decision Support Integration and Collaboration

(chair: D. Mladenic)

[5 min] Welcome and Brief Introduction
[20 min] A. Abu-Hanna: Prognosis-based Decision Support in Medicine A Divide and Conquer Approach
[20 min] S. Gasar, M. Bohanec, V. Rajkovic: Combined Data Mining and Decision Support Approach to the Prediction of Academic Achievement
[20 min] B. Cestnik, N. Lavrac, F. Zelezny, D. Gamberger, L. Todorovski, M. Kline: Data Mining for Decision Support in Marketing: A Case Study in Targeting a Marketing Campaign
[20 min] S. Moyle, M. Bohanec, E. Ostrowski: Large and Tall Buildings: A Case Study in the Application of Decision Support and Data Mining
[5 min] M. Bohanec, B. Cestnik, M. Grobelnik, D. Mladenic, M. Alves, A. Jorge, S. Moyle: Describing Decision Support, Data Mining, Text/Web Mining Studies in SolEuNet
[5 min] S. Wu, P.A. Flach: Model Selection for Dynamic Processes

10:35 - 11:00 Coffee Break

11:00 - 13:00 Session 2: Data Mining

(chair: to be announced )

[20 min] N. Lavrac, P.A. Flach, B. Kavsek, L. Todorovski: Rule Induction for Subgroup Discovery with CN2-SD
[20 min] L. Todorovski, B. Cestnik, M. Kline: Qualitative Clustering of Short Time-Series: A Case Study of Firms Reputation data
[20 min] S. Wu, P.A. Flach: Feature Selection with Labelled and Unlabelled Data
[20 min] A. Jorge, J. Pocas, P. Azevedo: A Post-processing Environment for Browsing Large Sets of Association Rules
[5 min] O. Stepankova, J. Klema, P. Miksovsky: Collaborative Data Mining and Data Exchange: A Case Study
[5 min] M.C. Ainslie, J.S. Sanchez: Space Partitioning for Instance Reduction in Lazy Learning Algorithms

13:00 - 14:30 Lunch Break

14:30 - 16:00 Session 3: Meta-Learning and Visualization

(chair: M. Bohanec)

[20 min] C. Kopf, I. Iglezakis: Combination of Task Description Strategies and Case Base Properties for Meta-Learning
[20 min] M. Nepil, L. Popelinsky: Committee-Based Selective Sampling with Parameters Set by Meta-Learning
[20 min] Y. Peng, P.A. Flach, P. Brazdil, C. Soares: Decision Tree-Based Characterization for Meta-Learning
[5 min] A.K. Seewald: Meta-Learning for Stacked Classification
[5 min] C. Soares, P. Brazdil: Knowledge-based Selection of Data Characteristics for Algorithm Recommendation Using Ranking Methods
[5 min] D. Gamberger, N. Lavrac, D. Wettschereck: Subgroup Visualization: A Method and Application to Population Screening
[5 min] D. Wettschereck: A KDDSE-independent PMML Visualizer
[10 min] Discussion and Conclusions of IDDM-2002

Proceedings

An electronic version of the Proceedings is available here.

Organisation

Workshop Chairs

Marko Bohanec (marko.bohanec@ijs.si)

Dunja Mladenic (dunja.mladenic@ijs.si)

Nada Lavrac (nada.lavrac@ijs.si)

Jozef Stefan Institute

Jamova 39

SI-1000 Ljubljana

Slovenia

Phone: +386 1 477 33 09

Fax: +386 1 425 10 38

Program Committee

Hendrik Blockeel, Katholieke Universiteit Leuven, Belgium

Patrick Brezillon, University Paris VI, France

Ivan Bruha, McMaster University, Canada

Peter Flach, University of Bristol, United Kingdom

Dragan Gamberger, Rudjer Boskovic Institute, Croatia

Christophe Giraud-Carrier, ELCA Informatique SA, Switzerland

Salvatore Greco, University of Catania, Italy

Marko Grobelnik, Jozef Stefan Institute, Slovenia

Alipio Jorge, University of Porto, Portugal

Krzysztof Krawiec, Poznan University of Technology, Poland

Steve Moyle, Oxford University, United Kingdom

Vladislav Rajkovic, University of Maribor, Slovenia

Roman Slowinski, Poznan University of Technology, Poland

Jerzy Stefanowski, Poznan University of Technology, Poland

Maarten van Someren, University of Amsterdam, The Netherlands

Olga Stepankova, Czech Technical University, The Czech Republic

Ljupco Todorovski, Jozef Stefan Institute, Slovenia

Tanja Urbancic, Jozef Stefan Institute, Slovenia

Ricardo Vilalta, IBM T.J. Watson Research Center, USA

Takahira Yamaguchi, Shizuoka University, Japan

Blaz Zupan, University of Ljubljana, Slovenia

[5 min]	Welcome and Brief Introduction
[20 min]	A. Abu-Hanna: Prognosis-based Decision Support in Medicine A Divide and Conquer Approach
[20 min]	S. Gasar, M. Bohanec, V. Rajkovic: Combined Data Mining and Decision Support Approach to the Prediction of Academic Achievement
[20 min]	B. Cestnik, N. Lavrac, F. Zelezny, D. Gamberger, L. Todorovski, M. Kline: Data Mining for Decision Support in Marketing: A Case Study in Targeting a Marketing Campaign
[20 min]	S. Moyle, M. Bohanec, E. Ostrowski: Large and Tall Buildings: A Case Study in the Application of Decision Support and Data Mining
[5 min]	M. Bohanec, B. Cestnik, M. Grobelnik, D. Mladenic, M. Alves, A. Jorge, S. Moyle: Describing Decision Support, Data Mining, Text/Web Mining Studies in SolEuNet
[5 min]	S. Wu, P.A. Flach: Model Selection for Dynamic Processes

[20 min]	N. Lavrac, P.A. Flach, B. Kavsek, L. Todorovski: Rule Induction for Subgroup Discovery with CN2-SD
[20 min]	L. Todorovski, B. Cestnik, M. Kline: Qualitative Clustering of Short Time-Series: A Case Study of Firms Reputation data
[20 min]	S. Wu, P.A. Flach: Feature Selection with Labelled and Unlabelled Data
[20 min]	A. Jorge, J. Pocas, P. Azevedo: A Post-processing Environment for Browsing Large Sets of Association Rules
[5 min]	O. Stepankova, J. Klema, P. Miksovsky: Collaborative Data Mining and Data Exchange: A Case Study
[5 min]	M.C. Ainslie, J.S. Sanchez: Space Partitioning for Instance Reduction in Lazy Learning Algorithms

[20 min]	C. Kopf, I. Iglezakis: Combination of Task Description Strategies and Case Base Properties for Meta-Learning
[20 min]	M. Nepil, L. Popelinsky: Committee-Based Selective Sampling with Parameters Set by Meta-Learning
[20 min]	Y. Peng, P.A. Flach, P. Brazdil, C. Soares: Decision Tree-Based Characterization for Meta-Learning
[5 min]	A.K. Seewald: Meta-Learning for Stacked Classification
[5 min]	C. Soares, P. Brazdil: Knowledge-based Selection of Data Characteristics for Algorithm Recommendation Using Ranking Methods
[5 min]	D. Gamberger, N. Lavrac, D. Wettschereck: Subgroup Visualization: A Method and Application to Population Screening
[5 min]	D. Wettschereck: A KDDSE-independent PMML Visualizer
[10 min]	Discussion and Conclusions of IDDM-2002