KDML 2006
KDML 2006: Knowledge Discovery, Data Mining, and Machine Learning
October 9th-13th, 2006 in Hildesheim, Germany
Montag, 09.10.2006
Plenary Session 1, 14:00-15:30h
- Opening Wolfgang-Uwe Friedrich, President of University of Hildesheim
- Keynote Dr. Ingwer C. Carlsen, Philips Research Europe in Hamburg
Medizinische Bildverarbeitung - Bedarf an Modellierung und Adaptivität
Session 2, 16:00-17:30h (Clustering + Subgroup Patterns)
- Ingo Mierswa and Michael Wurst
Sound Multi-Objective Feature Space Transformation for Clustering.
- Shyam Varan Nath
Crime Patterns Detection Using Data Mining Framework.
- Martin Atzmüller and Frank Puppe
Case-Based Characterization and Analysis of Subgroup Patterns.
Poster Session, 17:45-18:30h
Dienstag, 10.10.2006
Session 3, 09:00-10:30h (Web + IR)
- Asem Omari and Stefan Conrad
Web Usage Mining for Adaptive and Personalized Websites.
- Bettina Hoser, Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme
Semantic Network Analysis of Ontologies.
- Korinna Bade and Andreas Nürnberger
User Centric Hierarchical Classification and Associated Evaluation Measures for Document Retrieval.
Session 4, 11:00-12:30h (Applications)
- Florian Grewe
Automated Model Selection with AMSF in a Production Process of the Automotive Industry.
- Gunnar Schramm, Marcus Oswald, Hanna Seitz, Sebastian Sager, Marc Zapatka, Gerhard Reinelt,
Roland Eils and Rainer König
Pattern recognition of gene expression data on biochemical networks with simple wavelets transforms.
- Stefan Audersch and Guntram Flach
Visuelle Exploration multivariater Daten im Rahmen eines medizinischen Anwendungsszenarios.
Session 5, 14:00-15:30h (Bio-KDD)
- Dirk Habich, Thomas Wächter, Wolfgang Lehner and Christian Pilarsky
Two-Phase Clustering Strategy for Gene Expression Data Sets.
- Alexander Hinneburg , Andrea Porzel and Karina Wolfram
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-Dimensional NMR-Spectra.
- Daniel A. Keim, Daniela Oelke, Royal Truman and Klaus Neuhaus
Finding Correlations in Functionality Equivalent Proteins by
Integrating Automated and Visual Data Exploration.
Session 6, 16:00-17:30h (Data Stream Mining + Classification)
- Conny Franke, Marcel Karnstedt and Kai-Uwe Sattler
Mining Data Streams under Dynamically Changing Resource Constraints.
- Andreas Lattner and Otthein Herzog
Constraining the Search Space in Temporal Pattern Mining.
- Jan-Nikolas Sulzmann
Pairwise Naive Bayes Classifier.
Fachgruppen Treffen, 17:30-18:30h
LWA Get Together (Historischer Festsaal des Knochenhaueramtshauses), 19:00h-open end.
Mittwoch, 11.10.2006
Session 7, 09:00-10:30h (Rules, Graphs, Kernels)
- Frederik Janssen and Johannes Fürnkranz
On Trading Off Consistency and Coverage in Inductive Rule Learning.
- Tamas Horvath, Jan Ramon and Stefan Wrobel
Frequent Subgraph Mining in Outerplanar Graphs.
- Stephan Bloehdorn, Roberto Basili, Marco Cammisa and Alessandro Moschitti
Designing Semantic Kernels as Implicit Superconcept Expansions.
Plenary Session 8, 11:00-12:30h
- Keynote Dr. Joachim Baumeister
Knowledge Engineering in the Age of Communities
The workshop
Knowledge Discovery, Data Mining, and Machine Learning
(KDML) in 2006 is jointly organized by the special interest group of the
GI on
Knowledge
Discovery, Data Mining and Maschine Learning (FG-KDML, former FGML) and
the working group
Knowledge
Discovery (AK-KD) of the
GI
section
Databases and Information Systems (FB DBIS). 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 2006 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 2006). This provides the chance to meet
researchers from the special interest groups on Adaptivity and
Interaction, on Information
Retrieval, and on Knowledge
Management.
Topics of interest include but are not limited to:
- Mining and analysis of networks and graphs
- Text mining
- Web mining
- Distributed data mining & ubiquitous knowledge discovery
- Unsupervised & semi-supervised learning
- Visual analytics
- Bioinformatics applications
- Knowledge discovery in inductive databases
- Knowledge discovery in data streams
Important Dates
- August 28th, 2006:
Original
paper submissions deadline
- September 11th, 2006: Paper submissions due (extended submission
deadline)
- September 26th, 2006: Camera ready copies
due
-
- October 9th-13th, 2006: KDML Workshop in Hildesheim,
Germany
Please let us know, if you would like to make use of the extended submission
deadline, by sending us the author names and paper titles of your intented
submissions as soon as possible by e-mail to kdml06@informatik.uni-halle.de
. Optionally, you may also add an abstract of your intended submission.
Submission
The articles should be submitted as PDF or PS file and are
limited to 8 pages.
format
templates and style files for the articles are available from the
LWA 2006 main web page.
Please send submissions by email to
kdml06@informatik.uni-halle.de
.
Organization
The annual meetings of the special interest group FG-KDML and the working
group AK-KD will take place during the workshop.