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Bidding is a critical activity for most of contractors in face of intense competition. Thus, it is necessary to develop a practical bidding decision method. This paper presents a bidding decision model based on the analytical hierarchy process (AHP) method. As an illustration, a practical example of a construction company is cited, which demonstrates the application of this method and shows how this method can provide the decision makers with convincing and reliable results.

With the e-commerce market competition becoming more and more furious, it has become one of the focuses of companies that how to avoid customer churn and carry out customer retention. This paper applies many techniques of data mining to the research of customer churn, such as clustering analysis, decision tree, neural network, etc, establishes an e-commerce customer churn model and analyzes the factors which influence customer retention.