T
Thomas R. Gabriel
Researcher at University of Konstanz
Publications - 18
Citations - 3020
Thomas R. Gabriel is an academic researcher from University of Konstanz. The author has contributed to research in topics: Fuzzy rule & Hierarchy (mathematics). The author has an hindex of 8, co-authored 17 publications receiving 2651 citations.
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KNIME: The Konstanz Information Miner.
Michael R. Berthold,Nicolas Cebron,Fabian Dill,Thomas R. Gabriel,Tobias Kötter,Thorsten Meinl,Peter Ohl,Christoph Sieb,Kilian Thiel,Bernd Wiswedel +9 more
TL;DR: Some of the design aspects of the underlying architecture of the Konstanz Information Miner are described and briefly sketch how new nodes can be incorporated.
Book ChapterDOI
KNIME: The Konstanz Information Miner
Michael R. Berthold,Nicolas Cebron,Fabian Dill,Thomas R. Gabriel,Tobias Kötter,Thorsten Meinl,Peter Ohl,Christoph Sieb,Kilian Thiel,Bernd Wiswedel +9 more
TL;DR: The Konstanz Information Miner as mentioned in this paper is a modular environment that enables easy visual assembly and interactive execution of a data pipeline, which is designed as a teaching, research and collaboration platform.
Journal ArticleDOI
KNIME - the Konstanz information miner: version 2.0 and beyond
Michael R. Berthold,Nicolas Cebron,Fabian Dill,Thomas R. Gabriel,Tobias Kötter,Thorsten Meinl,Peter Ohl,Kilian Thiel,Bernd Wiswedel +8 more
TL;DR: Some of the design aspects of the underlying architecture are described, briey sketch how new nodes can be incorporated, and some of the new features of version 2.0 are highlighted.
Journal ArticleDOI
Influence of fuzzy norms and other heuristics on ¿Mixed fuzzy rule formation¿
TL;DR: The underlying algorithm’s performance is influenced by the choice of fuzzy t-norm and t-conorm, and a heuristic to avoid conflicts between patterns and rules of different classes throughout training.
Proceedings ArticleDOI
Rule Visualization based on Multi-Dimensional Scaling
TL;DR: This paper presents an approach to visualizing and exploring high-dimensional rules in two-dimensional views that uses multi-dimensional scaling to place the rule centers and subsequently extends the rules' regions to depict their overlap.