Data Mining for Business Intelligence in Distribution Chain Analytics
نویسندگان
چکیده
Manufacturers, wholesalers and retailers in the distribution chain can be seen as Community of Core Knowledge Practitioners (CoCKPs) working together towards making profit, satisfying and meeting the needs of consumers of finished goods or products. Retailers through business transactions deal directly with the end users and are seen to better understand consumer behavior particularly in line with their preference for buying particular products or product combinations. Retail data mining can help discover customershopping patterns and trends which can in turn increase the efficiency and profitability of CoCKPs in business. In this paper, a framework to support CoCKPs in acquisition, representation and beneficial use of core knowledge, employing the power of retail data mining, was presented. The framework integrated a Knowledge Based System (KBS) and a Component-Based approach to obtain an effective Knowledge Management System.
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