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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
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
How to Cite this Article?
Sk. Ismail, Dasari. Rajesh, "An Appropriate Mining Framework for Customer Knowledge Analysis", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=30091501, Volume 4 Issue 10, October 2015, 2031 - 2034
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