Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management

Authors

  • Banaz Anwer Qader

  • Dr. Murtadha M. Hamad

Keywords:

decision support system, data mining, knowledge discovery, knowledge warehouse, data warehouse

Abstract

Over the recent years, a great interest has appeared in studying " knowledge warehouse (KW) , decision support system (DSS) , data mining (DM) , and knowledge discovery process in database (KDD)" , taking into consideration that each of these fields is related to and influenced by the others. In order to manage an enterprise resources, there is a necessary need to build a DSS which helps the manager or the decision maker in the decision making and managing processes. While the primary goal of a (KW) is to provide the decision-maker with an intelligent analysis platform that enhances all phases of the knowledge management process , the (KDD) process should be applied to discover knowledge and build (KW) , where (DM) technique is considered the most important step in the process (KDD).

How to Cite

Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management. (2014). Global Journal of Management and Business Research, 13(E10), 35-41. https://journalofbusiness.org/index.php/GJMBR/article/view/1176

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Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management

Published

2014-01-06

How to Cite

Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management. (2014). Global Journal of Management and Business Research, 13(E10), 35-41. https://journalofbusiness.org/index.php/GJMBR/article/view/1176