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Association rule mining is a well researched method for discovering interesting relations between variables in large databases. The first phase of association rule mining is the discovery of frequent itemsets which is a critical step and plays important role in many data mining tasks. The existing algorithms for finding frequent itemsets suffer from many problems related to memory and computational...
With the rapid development of network technology, e-commerce has become an irresistible trend of the world. At the same time, network transaction is facing a growing number of opportunities and challenges. Many researchers from different angles, using different research methods and technical means, research on credit evaluation techniques in e-commerce transaction, which makes a great many of relevant...
Customer loyalty degree is the source of gaining enterprise profit and the guarantee of obtaining competitive edge in the e-commerce age. The thesis illustrates the new connotation of customer loyalty degree under e-commerce conditions and constructs the evaluation index system of customer loyalty. In the view of features of e-commerce model together with the limitations of existing method of assessing...
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