Please note that the venue of the conference has changed. DS-2008 will be taking place in Budapest, Hungary .
Discovery Science 2008 Logo
Call for Papers
Paper Submission
Accepted Papers
Important Dates
Program Committee
Registration and Visa
Venue and Travel
Invited Talks

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

Last modified  by webmaster.