Preliminary List of Accepted Papers

Unsupervised Classifier Selection Based on Two-Sample Test	Timo Aho, Tapio Elomaa and Jussi Kujala
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns	Mikko Korpela, Harri Makinen, Mika Sulkava, Pekka Nojd and Jaakko Hollmen
Deduction Schemes for Association Rules	José Balcazar
Mining Unordered Distance-constrained Embedded Subtrees	Fedja Hadzic, Henry Tan and Tharam Dillon
An Empirical Investigation of the Trade-Off Between Consistency and Coverage in Rule Learning Heuristics	Frederik Janssen and Johannes Furnkranz
Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations	Natthakan Iam-on, Tossapon Boongoon and Simon Garrett
Active Learning for High Throughput Screening	Kurt De Grave, Jan Ramon and Luc De Raedt
Learning Model Trees from Data Streams	Elena Ikonomovska and Joao Gama
Constructing Iceberg Lattices from Frequent Closures Using Generators	Laszlo Szathmary, Petko Valtchev, Amedeo Napoli and Robert Godin
Empirical Asymmetric Selective Transfer in Multi-Objective Decision Trees	Beau Piccart, Jan Struyf and Hendrik Blockeel
Ensemble-Trees: Leveraging Ensemble Power inside Decision Trees	Albrecht Zimmermann
An Efficiently Computable Graph-based Metric for the Classification of Small Molecules	Leander Schietgat, Jan Ramon, Maurice Bruynooghe and Hendrik Blockeel
Mining Graph Intervals to Extract Characteristic Reaction Patterns	Frédéric Pennerath, Géraldine Polaillon and Amedeo Napoli
Feature Selection in Taxonomies with Applications to Paleontology	Gemma Garriga, Antti Ukkonen and Heikki Mannila
Finding Frequent Patterns from Compressed Tree-structured Data	Seiji Murakami, Koichiro Doi and Akihiro Yamamoto
Input noise robustness and sensitivity analysis to improve large datasets clustering by using the GRID	Alberto Faro, Daniela Giordano and Francesco Maiorana
A Modeling Approach using Multiple Graphs for Semi-Supervised Learning	Akihiko Izutani and Kuniaki Uehara
Learning from each other	Christopher Dartnell, Eric Martin and Jean Sallantin
String Kernels Based on Variable-Length-Don't-Care Patterns	Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shunsuke Inenaga and Masayuki Takeda
A comparison between neural network methods for learning aggregate functions	Werner Uwents and Hendrik Blockeel
Unsupervised Spam Detection by Document Complexity Estimation	Takashi Uenura, Daisuke Ikeda and Hiroki Arimura
A probabilistic neighbourhood translation approach for non-standard text categorisation	Ata Kaban
An Integrated Graph and Probability Based Clustering Framework for Sequential Data	Haytham Elghazel, Tetsuya Yoshida and Mohand-Said Hacid
Cluster analysis in remote sensing spectral imagery through graph representation and advanced SOM visualization	Kadim Tasdemir and Erzsebet Merenyi
Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces	Wolfgang Kienreich and Peter Kraker
A Framework for Knowledge Discovery in a Society of Agents	Gauvain Bourgne and Vincent Corruble