OntoDTA: Ontology-Guided Decision Tree Assistance

Khaled Benali () and Sidi Ahmed Rahal ()
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Khaled Benali: Networks, Databases, Computer Science Department, University of Science and Technology of Oran, Algeria, USTO, Oran, Algeria
Sidi Ahmed Rahal: Networks, Databases, Computer Science Department, University of Science and Technology of Oran, Algeria, USTO, Oran, Algeria

Journal of Information & Knowledge Management (JIKM), 2017, vol. 16, issue 03, 1-23

Abstract: The effective application of a Decision Tree (DT) process is beset with many difficult and technical decisions about the choice of algorithms, parameters, evaluation, etc. Therefore, we propose assistance by using ontologies for addressing the above-mentioned challenges that face the non-specialist DT miner (person). Ontologies have been used in various research areas such as computer science, including data mining tools. In this paper, we propose the realisation of a domain ontology for DT OntoDTA to empower the non-specialist DT miner throughout the key phases of the DT process. OntoDTA ontology contains the knowledge of DT and provides a common terminology that can be shared and processed by DT miners.

Keywords: Assistance; data mining; decision trees; decision tree miner and ontology (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S0219649217500319

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