Program: AKKD/FGML

Monday 14.00-16.00 Graph Mining
Bettina Berendt The semantics of frequent subgraphs: Mining and navigation pattern analysis
Björn Bringmann, Albrecht Zimmermann Tree2 - Decision Trees for Tree Structured Data
Lukas Molzberger Towards a Graph-Based Rule-Mining Framework for Natural Language Learning and Understanding
Thorsten Meinl, Ingrid Fischer, Michael Philippsen Parallel Mining for Frequent Fragments on a shared-memory Multiprocessor
Monday 16.30-18.00 Sequential, Spatial and Temporal Information
Christoph Schmoeger, Carsten Gips, Fritz Wysotzki Spatial Inference with Constraints
Andreas D. Lattner, Otthein Herzog Mining Temporal Patterns from Relational Data
Ulf Brefeld and Christoph Büscher and Tobias Scheffer Multi-View Hidden Markov Perceptrons
Tuesday 09.00-10.45 Machine Learning and Software Engineering
Jörg Rech Preprocessing of Object-Oriented Source Code for Code Retrieval
Klaus-Dieter Althoff, Markus Nick Maintaining Experience to Learn - Case Studies on Experience Factory Fraunhofer IESE
B. Decker, M.M. Nick, M. John Erfahrungsmanagement: Status Quo und Herausforderungen an die Unterstützung durch Erfahrungsdatenbanken
Björn Decker Management von Anforderungsdokumenten mittels semantischer Wikis
Tuesday 11.00-12.30 Information Extraction
Gudrun Fischer, Igor Jacy Lino Campista A Template-Based Approach to Summarize XML Collections
Tobias Anton DOM-Tree based XPath-Wrapper induction
Karl-Michael Schneider An Evaluation of Layout Features for Information Extraction from Calls for Papers
Tuesday 14.00-16.00 Information Retrieval
Brigitte Mathiak, Andreas Kupfer, Richard Münch, Claudia Täubner, and Silke Eckstein Mining PDF documents for pictures
Petra Perner und Thomas Günther Detection of Hygiene-relevant Parameters from Cereal Grains based on Intelligent Image Interpretation and Data Mining
Olga Artemenko, Thomas Mandl, Margaryta Shramko, Christa Womser-Hacker Implementation and Evaluation of a Language Identification System for Mono- and Multi-lingual Texts
Bjoern Koester Conceptual Knowledge Processing with Google
Tuesday 16.30-17.30 Applications
Adam Monostori and Hans Holm Frühauf and Gabriella Kokai Quick Estimation of Resources of FPGAs and ASICs Using Neural Networks
Tobias Sing et al. Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling, and SVM-Based Feature Ranking
Wednesday 09.00-10.30 Clustering and Collaborative Filtering
Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas Dimension Induced Clustering
Alfred Ultsch U*C: Self-organized Clustering with Emergent Feature Maps
Peter Haase, Andreas Hotho, Lars Schmidt-Thieme, York Sure Collaborative and Usage-driven Evolution of Personal Ontologies
Wednesday 11.00-12.30 Evaluation and Meta-Learning
Ralf Klinkenberg Meta-Learning for Concept Drift Handling
Christine Körner and Stefan Wrobel Bias Free Hypothesis Evaluation in Multirelational Domains
Eyke Hüllermeier, Johannes Fürnkranz, Jürgen Beringer Learning Label Preferences: Ranking Error versus Position Error