Call for Papers
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Venue and Travel
Paper Submission

Time Schedule

The conference starts on Saturday, October 7th, with two tutorials, scheduled as follows:

  • 10:00-13:30: Morning Tutorial
    Michael May: Geographic and Spatial Data Mining
  • 13:30-15:00: Lunch Break
  • 15:00-18:30: Afternoon Tutorial
    Luis Torgo: Using R for Data Mining and Scientific Discovery
  • 18:30-20:00: Steering Committee Meeting

The table below presents the schedule for the other three days of the conference. Note that further info on tutorials and invited talks can be found on the Program page.

Time Sunday, 8 October Monday, 9 October Tuesday, 10 October
10:00-11:00 Morning Invited Talks
Andrew Ng
Reinforcement Learning and Apprenticeship Learning for Robotic Control
Ulrich Simon
The Usage of the Spectral Norm in Learning Theory: Some Selected Topics
Gunnar Raetsch
The Solution of Semi-Infinite Linear Programs using Boosting-like Methods
11:00-11:30 Coffee Break
11:30-12:20 Regression
(chair: Joao Gama)
Scientific Discovery
(chair: Hiroshi Motoda)
Document Clustering and Classification
(chair: Klaus P. Jantke)
Carl Smith Award
Rita Ribeiro and Luis Torgo
Rule-based Prediction of Rare Extreme Values

Marc Boulle and Carine Hue
Optimal Bayesian 2D-discretization for Variable Ranking in Regression
Catherine Blake and Meredith Rendall
Scientific Discovery: A View from the Trenches

Jean Sallantin and Christopher Dartnell
A Pragmatic Logic of Scientific Discovery
Krzysztof Ciesielski and Mieczyslaw Klopotek
Text Data Clustering by Contextual Graphs

Yaakov HaCohen-Kerner, Hananya Beck, Elchai Yehudai and Dror Mughaz
Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets
12:20-12:30 Short Break
12:30-13:20 Data Streams
(chair: Jose Luis Balcazar)
Data and Knowledge Visualisation
(chair: Luis Torgo)
Text Mining
(chair: )
Albert Bifet and Ricard Gavalda
Kalman Filters and Adaptive Windows for Learning in Data Streams

Milton Severo and Joao Gama
Change detection with Kalman Filter and CUSUM
Yukihiro Nakamura, Shin Ando, Kenji Aoki, Hiroyuki Mano and Einoshin Suzuki
Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data

Antti Rasinen, Jaakko Hollmen and Heikki Mannila
Analysis of Linux evolution using aligned source code segments
Gyorgy Szarvas, Richard Farkas and Andras Kocsor
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms

Xin Wang and Ata Kaban
Model-based estimation of word saliency in text
13:30-15:00 Lunch Break
15:00-16:00 Afternoon Invited Talks Itemset and Sequence Mining (15:00-16:15)
(chair: Einoshin Suzuki)
Carole Goble
Putting Semantics into e-Science and the Grid
Padhraic Smyth
Data-Driven Discovery using Probabilistic Hidden Variable Models
Yasuto Higa, Shunsuke Inenaga, Hideo Bannai and Masayuki Takeda
A new family of string classifiers based on local relatedness

Takashi Katoh, Kouichi Hirata and Masateru Harao
Mining Sectorial Episodes from Event Sequences

Taneli Mielikainen, Pance Panov and Saso Dzeroski
Itemset Support Queries using Frequent Itemsets and Their Condensed Representations
16:00-16:10 Short Break Short Break (16:15-16:30)
16:10-17:25 Short Poster Presentations (16:10-17:40)
(chair: Ljupco Todorovski)
Remote Sensing and High Dimensional Data
(chair: Michael May)
Applications in Bioinformatics (16:30-17:20)
(chair: )
Hanene Borchani, Nahla Ben Amor and Khaled Mellouli
Learning Bayesian Network Equivalence Classes from Incomplete Data

Laurent Brisson
Interesting patterns extraction using prior knowledge

Alipio M. Jorge, Fernando Pereira and Paulo J. Azevedo.
Visual interactive subgroup discovery with numerical properties of interest

Lobna Karoui, Nacera Bennacer and Marie-Aude Aufaure
Contextual Ontological Concepts Extraction

Fabio B. Losa, Pau Origoni and Gilbert Ritschard
Experiences from a Socio-Economic Application of Induction Trees

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier and Lucero Lopez-Perez
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA)

Shin-ichi Minato
Symmetric Item Set Mining Based on Zero-suppressed BDDs

Mizuho Mishima and Makoto Kikuchi
Mathematical Models of Category-Based Induction

Makoto Miwa, Daisaku Yokoyama and Takashi Chikayama
Automatic Construction of Static Evaluation Functions for Computer Game Players

Isabel Nepomuceno Chamorro, Juan Antonio Nepomuceno Chamorro, Roberto Ruiz and Jesus S. Aguilar-Ruiz
Databases Reduction simultaneously by Ordered Projection

Mihaela Oprea
Mapping Ontologies in an Air Pollution Monitoring and Control Agent-based System

Aritz Perez, Pedro Larranaga and Inaki Inza
Information Theory and Classification Error in Probabilistic Classifiers

Joe Phillips, Ronald Edwards and Raghuveer Kumarakrishnan
Checking Scientific Assumptions by Modeling

Gonzalo Ramos-Jimenez, Jose del Campo-Avila and Rafael Morales-Bueno
Incremental Algorithm Driven by Error Margins

Nazha Selmaoui, Claire Leschi, Dominique Gay and Jean-Francois Boulicaut
Feature Construction and delta-Free Sets in 0/1 Samples

Roberto Theron
Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates

Hye Sung Yoon, Sang Ho Lee, Sung Bum Cho and Ju Han Kim
A Novel Framework for Discovering Robust Cluster Results

Li Juan Zhang and Zhou Jun Li
Gene Selection for Classifying Microarray Data Using Grey Relation Analysis (canceled)
Armando Fernandes and Susana Nascimento
Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation

Ata Kaban, Jianyong Sun, Somak Raychaudhury and Louisa Nolan
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets

Tomasz Stepinski, Soumya Ghosh and Ricardo Vilalta
Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification
Pedro Ferreira, Paulo J. Azevedo, Rui Brito and Candida G. Silva
Mining Approximate Motifs in Time Series

ThanhPhuong Nguyen and Tu Bao Ho
Prediction of domain-domain interactions using inductive logic programming from multiple genome databases
17:25-17:55 Coffee Break
17:55-19:10 Poster Session Clustering
(chair: Ricard Gavalda)
See the list of papers above. Heidi Koivistoinen, Minna Ruuska and Tapio Elomaa
A Voronoi Diagram Approach to Autonomous Clustering

Jae-Seong Ahn, Yang-Won Lee and Key-Ho Park
Classification of Changing Regions Based on Temporal Context in Local Spatial Association

Jan Poland and Thomas Zeugmann
Clustering Pairwise Distances with Missing Data: Maximum Cuts versus Normalized Cuts
20:00- Business Meeting Banquet