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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).
Banaz Anwer Qader. 2014. \u201cKnowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 13 (GJMBR Volume 13 Issue E10): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 107
Country: Iraq
Subject: Global Journal of Management and Business Research - E: Marketing
Authors: Dr. Murtadha M. Hamad, Banaz Anwer Qader (PhD/Dr. count: 1)
View Count (all-time): 155
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Publish Date: 2014 01, Mon
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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).
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