An Appropriate Mining Framework for Customer Knowledge Analysis

Sk. Ismail, Dasari. Rajesh

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

How to Cite?: Sk. Ismail, Dasari. Rajesh, "An Appropriate Mining Framework for Customer Knowledge Analysis", Volume 4 Issue 10, October 2015, International Journal of Science and Research (IJSR), Pages: 2031-2034, https://www.ijsr.net/getabstract.php?paperid=30091501, DOI: https://dx.doi.org/10.21275/30091501