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The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In(More)
The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In(More)
— This paper presents an approach to visualizing and exploring high-dimensional rules in two-dimensional views. The proposed method uses multi-dimensional scaling to place the rule centers and subsequently extends the rules' regions to depict their overlap. This results not only in a visualization of the rules' distribution but also enables the relationship(More)
In Mixed Fuzzy Rule Formation [Int. J. Approx. Reason. 32 (2003) 67] a method to extract mixed fuzzy rules from data was introduced. 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. In the following addendum(More)
In this paper we describe the open source data analytics platform KNIME, focusing particularly on extensions and modules supporting fuzzy sets and fuzzy learning algorithms such as fuzzy clustering algorithms , rule induction methods, and interactive clustering tools. In addition we outline a number of experimental extensions, which are not yet part of the(More)
Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpretation. We recently presented a method that constructs a hierarchical rule system, with only a small number of rules at each level of the hierarchy. Lower levels in this(More)
In December 2008, version 2.0 of the data analysis platform KNIME was released. It includes several new features, which we will describe in this paper. We also provide a short introduction to KNIME for new users. The Konstanz Information Miner (KNIME) is being developed by the Nycomed Chair for Bioinformatics and Information Mining at the University of(More)
— This paper presents an approach for visualizing high-dimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dimensional scaling method is used to map the rule centers of the top hierarchy level to one coherent picture. Rules of the underlying levels are projected relatively to their parent(More)