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Program

First Conference Day: July 12, 2010

8.00-9.00	Registration
Session Chair: Petra Perner
8.50	Welcome	Petra Perner
9.00	Invited Talk A Survey of the Contributions of Bioinformatics to Data Mining	Isabelle Bichindaritz
10.00	Break
Data Mining in Marketing Session Chair: Warwick Graco
10.20	Quantile Regression Model for Impact Toughness Estimation	Satu Tamminen, Ilmari Juutilainen and Juha Röning
10.40	Mining for Paths in Flow Graphs	Adam Jocksch, José Nelson Amaral and Marcel Mitran
11.00	Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis	Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund and Barbro Back
11.20	Managing Product Life Cycle with MultiAgent Data Mining System	Serge Parshutin
11.40	Modeling Pricing Strategies Using Game Theory and Support Vector Machines	Cristián Bravo, Nicolás Figueroa and Richard Weber
Data Mining for Network Performance Monitoring Session Chair: Jonas Poelmans
12.00	Event prediction in network monitoring systems: performing sequential pattern mining in Osmius monitoring tool	Rafael García, Luis Llana, Constantino Malagón and Jesús Pancorbo
12.20	Lunch
Theoretical Aspects of Data Mining Session Chair: Jonas Poelmans
13.40	Bootstrap Feature Selection for Ensemble Classifiers	Rakkrit Duangsoithong and Terry Windeatt
14.00	Evaluating the Quality of Clustering Algorithms using Cluster Path Lengths	Faraz Zaidi, Daniel Archambault and Guy Melancon
14.20	Finding irregularly shaped clusters based on Entropy	Angel Kuri-Morales and Edwin Aldana-Bobadilla
14.40	Fuzzy Conceptual Clustering	Anja Attig and Petra Perner
15.00	Mining Concept Similarities for Heterogeneous Ontologies	Konstantin Todorov, Peter Geibel and Kai-Uwe Kühnberger
15.20	Re-Mining Positive and Negative Association Mining Results	Ayhan Demiriz, Gurdal Ertek, Tankut Atan and Ufuk Kula
15.40	Break
Session Chair: Leon Bobrowski
16.00	Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining	Santhana Chaimontree, Katie Atkinson and Frans Coenen
16.20	Describing Data with the Support Vector Shell in Distributed Environments	Peng Wang and Guojun Mao
16.40	Robust Clustering Using Discriminant Analysis	Vasudha Bhatnagar and Sangeeta Ahuja
Aspects of Data Mining Session Chair: Georg Ruß
17.00	Data Mining with Neural Networks and Support Vector Machines using the R/rminer Tool	Paulo Cortez
17.20	The Orange Customer Analysis Platform	Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant and Vincent Lemaire
17.40	Semi-Supervised Learning for False Alarm Reduction	Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo and Hsiu-Chuan Huang
18.00	Learning from Humanoid Cartoon Designs	Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Yong Peng Why and Golam Ashraf
18.20	Mining Relationship Associations from Knowledge about Failures using Ontology and Inference	Weisen Guo and Steven B. Kraines
Data Mining in Agriculture Session Chair: Frans Coenen
18.40	Regression Models for Spatial Data: An Example from Precision Agriculture	Georg Ruß and Rudolf Kruse
19.00	Trend Mining in Social Networks: A Study Using A Large Cattle Movement Database	Puteri N.E. Nohuddin, Rob Christley, Frans Coenen and Christian Setzkorn