Ontology-Driven KDD Process Composition

12 years 9 months ago
Ontology-Driven KDD Process Composition
Abstract. One of the most interesting challenges in Knowledge Discovery in Databases (KDD) eld is giving support to users in the composition of tools for forming a valid and useful KDD process. Such an activity implies that users have both to choose tools suitable to their knowledge discovery problem, and to compose them for designing the KDD process. To this end, they need expertise and knowledge about functionalities and properties of all KDD algorithms implemented in available tools. In order to support users in this heavy activity, in this paper we introduce a goal-driven procedure for automatically compose algorithms. The proposed procedure is based on the exploitation of KDDONTO, an ontology formalizing the domain of KDD algorithms, allowing us to generate valid and non-trivial processes.
Claudia Diamantini, Domenico Potena, Emanuele Stor
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where IDA
Authors Claudia Diamantini, Domenico Potena, Emanuele Storti
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