KDML 2007 in Halle/Saale, Germany

Knowledge Discovery, Data Mining, and Machine Learning -- September 24th-26th, 2007

The workshop Knowledge Discovery, Data Mining, and Machine Learning (KDML) in 2007 is organized by the special interest group of the GI on Knowledge Discovery, Data Mining and Maschine Learning (FG-KDML, former FGML). The goal of the workshop is to provide a forum for database and machine learning oriented researchers with interests in knowledge discovery and data mining. To foster the connections between both communities there is the opportunity to present your own working group or department by an overview poster during the workshop.

The organizers seek research and/or application oriented papers related to all aspects of machine learning, data mining, and knowledge discovery in databases. Besides of previously unpublished original scientific or application oriented contributions, also articles describing ongoing work with preliminary results as well as articles already published in 2007 at an international conference or journal are welcome. If requested, there will also be room for system demonstrations (poster and/or software).

The workshop is part of the workshop week Learning - Knowledge Discovery - Adaptivity (LWA 2007). This provides the chance to meet researchers from the special interest groups on Adaptivity and Interaction, on Information Retrieval, on Knowledge Management, and on Bioinformatics.

Topics of interest include but are not limited to:

Prelimnary Workshop-Program KDML 2007

Monday, September 24th, 2007

Invited Talk
14:00 Alexander Schliep
Detecting functional modules from heterogenous mass data
15:00 Coffee Break
Session Web- and Text-Mining
15:30 Robert Jä,schke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme
Tag Recommendations in Folksonomies
16:00 Korinna Bade, Andreas Nürnberger
Constraint Based Hierarchical Clustering for Text Documents
16:30 Katja Hose, Marcel Karnstedt, Daniel Klan, Kai-Uwe Sattler, Jana Quasebarth
Incremental Mining for Facility Management
17:00 Coffee Break
Session Clustering, Short Papers
17:30 Dirk Habich, Martin Hahmann, Wolfgang Lehner
Parameterfreies Clustering mittels Multi-Level Ansatz
17:50 Alexander Hinneburg, Hans-Henning Gabriel
Clustering using EM-based Hill-Climbing on Kernel Density Estimation
18:10 Miranda Grahl, Andreas Hotho, Gerd Stumme
Conceptual Clustering of Social Bookmarking Sites
18:30 SIG-KDML Meeting
19:30 Departure to Restaurant

Tuesday, September 25th, 2007

Session Bioinformatik
9:00 Kitiporn Plaimas, Marcus Oswald, Roland Eils, Rainer König
Integrating Genomic and Transcriptomic Data into Graph Based Approaches for Defining Essential Reactions in the Metabolic Network of Escherichia Coli
9:20 Jan Grau, Jens Keilwagen, Ivo Grosse, Stefan Posch
Discriminative learning of Markov models with varying order
9:40 Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
Recognition of splice sites using maximum conditional likelihood
10:00 Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaino, Richard Cote, Phil Jones, Rolf Apweiler, Henning Hermjakob
Analysing latent topics in large-scale proteomics
10:30 Coffee Break
Invited Talk
11:00 Myra Spiliopoulou
Understanding Change before Adaptation: Tracing Changes over a Stream of Data
12:30 Lunch
Session Groups and Optimization
14:00 Alfred Ultsch
Combined Distance and Density Clustering based on neuronal Grid Projections
14:30 Martin Atzmueller, Frank Puppe
Towards Confounding-Aware Subgroup Discovery
15:00 Ingo Mierswa
Regularization through Multi-Objective Optimization
15:30 Coffee Break
Session Short Papers
16:00 Rene Schult
TheMoT - A Theme Monitoring Tool for Text Streams
16:20 Dominik Benz, Andreas Hotho
Position Paper: Ontology Learning from Folksonomies
16:40 Suzanne Little, Ovidio Salvetti, Petra Perner
Semi-Automatic Semantic Annotation of Images
17:00 Ernesto William De Luca, Frank Rügheimer
Discovering Linguistic Dependencies with Graphical Models
17:20 Eneldo Loza Mencia, Johannes Fürnkranz
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
17:40 Andreas Kaspari, Michael Wurst
Multi-objective Frequent Termset Clustering
18:00 Poster Session
  Weiwei Cheng
Interactive Ranking of Skylines Using Machine Learning Techniques
  Tim vor der Brück, Johannes Leveling
Parameter Learning for a Readability Checking Tool
  Andreas Wagner, Marc Rössler
WALU- Eine Annotations- und Lern-Umgebung für semantisches Texten
  Règis Newo, Thomas Müller, Klaus-Dieter Althoff
Learning to cope with critical situations - A Simulation Model of Cognitive Processes using Multiagent Systems
  Olana Missura
Adaptive Agents in the Context of Connect Four
  Asem Omari, Alexander Hinneburg, Stefan Conrad
Temporal Frequent Item Set Mining

Wednesday, September 26th, 2007

Session Learning and Applications
9:00 Frederik Janssen, Johannes Fürnkranz
Meta-Learning Rule Learning Heuristics
9:30 Matthias Hofmann, Arno Klein, Gabriella Kokai
Adaptive Optimierung des Prefetch-Verhaltens bei objektorientierten Multi-Tier Client-Server-Systemen
10:00 Nima Taghipour, Ahmad Kardan
Enhancing a Web Recommender System based on Q Learning
10:30 Coffee Break
Invited Talk
11:00 Michael Fahrmair
Exploiting User Context Models in Large Scale Mobile Context Adaptive Systems
12:30 Lunch

Important Dates

Organization

Program Committee

The annual meeting of the special interest group FG-KDML will take place during the event.