An Appropriate Mining Framework for Customer Knowledge Analysis
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 10)Publication Date: 2015-10-05
Authors : Sk. Ismail; Dasari. Rajesh;
Page : 2031-2034
Keywords : Domain driven data mining; Ontology; Customer demand;
Abstract
This paper presents a review of three papers based on Domain Driven Data Mining. In the first paper [1], Domain Driven Data Mining is proposed as a methodology and a collection of techniques targeting domain driven actionable knowledge delivery to drive Knowledge Discovery from Data (i. e. KDD) toward enhanced problem-solving infrastructure and capabilities in real business state of affairs. The second paper [2] emphasizes the development of methodologies, techniques, and tools for actionable knowledge discovery and delivery by incorporating relevantly ubiquitous intelligence surrounding data-mining-based problem solving. In the third paper [3] an application for intelligent credit scoring has been discussed using domain driven data mining techniques.
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