01663nas a2200181   4500008004100000245008000041210006900121260000900190300001400199490000700213520103900220653002201259653002801281653002401309653002001333100001101353856011701364       2012                        eng d00aA new customer classification algorithm for electronic commerce enterprises0 anew customer classification algorithm for electronic commerce en  c2012  a284 - 2880 v103 aCorrectly and effectively customer classification according to their characteristics and behaviors will be the most important resource for electronic marketing and online trading of network enterprises. A new customer classification algorithm for electronic commerce enterprises is advanced based on analyzing customer characteristics and behaviors. First, based on consumer characteristics and behavior analysis, 21 customer classification indicators, including customer characteristics type variables and customer behavior type variables, are designed, Second, aiming at the shortages of the existing BP neural network algorithm of data-mining for customer classification, the immune-genetic algorithm is used to correct BP neural network to speed up the convergence of the model. Finally the experimental results verify that the new algorithm can improve customer classification accuracy and can guarantee the effectiveness and validity of customer classification for electronic commerce enterprises in its engineering application.10aBP Neural Network10aCustomer classification10aElectronic commerce10aImmune genetics1 aLi, X.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84870801373&partnerID=40&md5=e0e9cd1f8a408b64aa0f9dc6037ec8e6