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Intelligent Decision System using UI-AKD Approach of D3M

Author(s):

Prof. K.Tejaswi , Atharva College of Engineering, University of Mumbai ; Prof. Sumita Chandak, Atharva College of Engineering, University of Mumbai ; Prof. Reena Mahe, Atharva College of Engineering, University of Mumbai ; Prof. Renuka Nagpure, Atharva College of Engineering, University of Mumbai

Keywords:

Intelligence Decision, D3M, Actionable Knowledge Discovery (AKD), Data-Warehouse, E-Commerce

Abstract

As there is an extent growth in the fields of e-commerce and web technologies in these years, the concepts and applications of decision support systems have been increased significantly. The demand placed on data that is loaded into the data warehouse and queried from this is more. So that it has become a huge overhead for the entrepreneurs and business users which has forced them to manage the data. But the transaction that has happened might be commercial and may have lots of useful knowledge for business decisions in the data warehouse. Through Intelligent Decisions, customers / entrepreneurs are able to make effective decisions concerning the management and direction of their organization. This paper proposes about business intelligent decisions that take place in data-warehouse through the Actionable-Knowledge Discovery (AKD) in Domain Driven Data Mining (D3M for short) using UI-AKD approach. The general architecture of D3M for enterprise decisions was proposed, and its characteristics would be analyzed. The deliverables of D3M were extracted from the result of data mining and knowledge base. The enterprise decisions and reports could be analyzed through D3M deliverables.

Other Details

Paper ID: NCTAAP043
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 187-190

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