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Electronic commerce and data mining are being payed maximum attention. Apply data mining to electronic commerce become a hot issue among businesses. This paper introduces the concepts and classifications of the Web mining. It takes the mining form Web logs as an ensample to discusses the methods and process of Web mining. At last, it presents its applications in Electronic commerce.
Rapid progress of network arouses much attention on Internet public opinion, it is important to grasp the internet public opinion in time and understand the trends of their opinion correctly. Text mining plays a fundamental role in categorization and monitoring of internet public opinion, but internet public opinion is much more difficult than pure-text process because of their semi-structured characteristic...
With the development of Internet, more and more firms adopt dynamic pricing as a valid method to maximize their profit, especially, when the demand is uncertainty. But on the other hand, the consumers become cleverer than before. Customers behave strategically and weigh their payoff of immediate purchase against the expected payoff of delaying their purchases. In this paper, we use a dynamic pricing...
In order to solve the problem of user-classification to reflect the features of Web users inflexible, a novel user classification model was presented in this paper. By introducing the concept of time discretization and applying fuzzy equivalence relation clustering to classify Web users, the model can rationally solve the user classification problems. Empirical results showed that the output of user...
Most network operators have considered reducing Label Switched Routers (LSR) label spaces (i.e. the number of labels that can be used) as a means of simplifying management of underlaying Virtual Private Networks (VPNs) and, hence, reducing operational expenditure (OPEX). This letter discusses the problem of reducing the label spaces in Multiprotocol Label Switched (MPLS) networks using label merging...
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