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Automatic Definition of KDD Prototype Processes by Composition

In: Management of the Interconnected World

Author

Listed:
  • Claudia Diamantini

    (Università Politecnica delle Marche)

  • Domenico Potena

    (Università Politecnica delle Marche)

  • Emanuele Storti

    (Università Politecnica delle Marche)

Abstract

The design of a Knowledge Discovery in Databases (KDD) experiment implies the combined use of several data manipulation tools that are suited for the discovery problem at hand. This implies that users should possess a considerable amount of knowledge and expertise about functionalities and properties of all KDD algorithms implemented in available tools, for choosing the right tools and their proper composition. In order to support users in these demanding activities, we introduce a goal-driven procedure to automatically discover candidate prototype processes by composition of basic algorithms. The core of this procedure is the algorithm matching, which is based on the exploitation of an ontology formalizing the domain of KDD algorithms. The present work focuses on the definition and evaluation of algorithm matching criteria.

Suggested Citation

  • Claudia Diamantini & Domenico Potena & Emanuele Storti, 2010. "Automatic Definition of KDD Prototype Processes by Composition," Springer Books, in: Alessandro D'Atri & Marco De Marco & Alessio Maria Braccini & Francesca Cabiddu (ed.), Management of the Interconnected World, pages 193-200, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2404-9_23
    DOI: 10.1007/978-3-7908-2404-9_23
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