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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015

An Appropriate Mining Framework for Customer Knowledge Analysis

Sk. Ismail | Dasari. Rajesh ^[2]

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.

Keywords: Domain driven data mining, Ontology, Customer demand

Edition: Volume 4 Issue 10, October 2015,

Pages: 2031 - 2034

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