A Novel Approach to Ontology Based Hybrid Intelligent Data Mining Assistance (HIDMA)

Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Data Management
Format: PDF
An efficient application of a data mining process is littered with many difficult and technical decisions such as data refining, feature transformations, algorithms, parameters, evaluation. Subsequently most data mining products provide a large number of models and tools but few provide intelligent assistance for addressing the above mentioned challenges that face the non specialist data miner. In this paper, the authors propose the realization of a Hybrid Intelligent Data Mining Assistant (HIDMA) based on the synergistic combination of both declarative and procedural ontology knowledge in order to empower the non specialist data miner throughout the key phases of the CRoss Industry Standard Process for Data Mining (CRISP-DM) process.

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