Arno Knobbe

Arno Knobbe is a senior researcher in the LIACS Data Mining group. The subject of his thesis, which can be found here, was Multi-Relational Data Mining. His current research includes the following subjects:

Multi-Relational Data Mining
MRDM is the art of mining useful knowledge from structured data stored in relational databases. Because structured data requires a database which contains multiple related tables, traditional single-table techniques cannot be used. The field of MRDM is concerned with generalising common Data Mining concepts to a multi-table setting. Over five years of research in this area has resulted in the Safarii MRDM system, which includes a whole range of Data Mining facilities organised around a relational database containing multiple tables.

Bioinformatics
Arno Knobbe is involved in the 'European Embryonal Tumor Pipeline', an EU-funded research project concerning the genetic causes of several cancers in small children. Along with the Jozef Stefan Institute and the German Cancer Research Fund, he is responsible for the data analysis part of the project, with a specific focus on the integration of knowledge from multiple sources. His current activities involve the 'Systems Bioinformatics' project at LIACS.

Local Patterns and Pattern Teams
Most modern pattern discovery algorithms produce an abundance of results. In many cases, the end-user has limited time and is only interested in finding the few key patterns in the data. The Pattern Team framework is concerned with finding these few non-redundant patterns within large collections of local patterns. The different Pattern Team solutions have been implemented on top of Safarii.

Learning in Computer Vision
A recent system developed by Arno Knobbe is the Computer Vision system called Harmonii. The system uses stereo-images to build up a 3D representation of the filmed scene, and plan trajectories for mobile robots in an automotive setting. Machine Learning algorithms are used to classify different areas of the image, based on colour, texture, 3D orientation etc., in order to recognize features such as road-surface en traffic signs.

A full list of publications since 1995 can be found here.


News
We have just hired three new people on the InfraWatch project: Joaquin Vanschoren, Ugo Vespier and Shengfa Miao.
I am co-organising the Mining Patterns & Subgroups workshop.
A new paper on Exceptional Model Mining was accepted at ICDM 2010: Subgroup Discovery meets Bayesian networks - an Exceptional Model Mining approach.

 

Arno Knobbe