期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2012
卷号：12
期号：2
出版社：Imperial Foundation
摘要：The paper highlights the Critical factors for the Customer preferences in the business markets using the Data mining. The customer purchase patterns approach, using the association rules mining technique, is an effective way of extracting the rules from the raw data and inferring the buying patterns among them. The success of proper implementation of these techniques in the business firms is mixed. This is due to the fact that trends and taste of the customers are highly unpredictable. Hence this implementation requires planning regarding the factors which need to be considered before going for the new innovative ideas. These factors may vary from firm to firm but the general factor for effective implementation of the customer preference is essential. This factor termed as Critical factors of Customer preferences (CFCP) decides the failure or success of the implementation.
