Application and Discussion of Data Mining Model Based on Microsoft Association Rules Algorithm
Chengxia Liu
Abstract
Chengxia Liu
Abstract
The application of Microsoft association rules algorithm of data mining in financial field is discussed in this paper.The function of the data mining is mining useful and potential information from the massive data.A business data mining system is created based on Microsoft association rules algorithm,which can provide better decisions and recommendations for the bank through filtering and mining the customers’ transaction information.The client part of the system is developed with the Visual Studio.NET 2008.And it uses the objects of ADOMD.NET to associate the data warehouse and the interface and the Web controls to display the result of mining.By using the application system analyze the customer’s attributes to predict the payment ability and credit card type.The bank also can supply more service based on the customer’s interest.In the creation of the instance model system the whole program of data mining is introduced in detail and this helps the development of data mining’s application.
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The application of Microsoft association rules algorithm of data mining in financial field is discussed in this paper.The function of the data mining is mining useful and potential information from the massive data.A business data mining system is created based on Microsoft association rules algorithm,which can provide better decisions and recommendations for the bank through filtering and mining the customers’ transaction information.The client part of the system is developed with the Visual Studio.NET 2008.And it uses the objects of ADOMD.NET to associate the data warehouse and the interface and the Web controls to display the result of mining.By using the application system analyze the customer’s attributes to predict the payment ability and credit card type.The bank also can supply more service based on the customer’s interest.In the creation of the instance model system the whole program of data mining is introduced in detail and this helps the development of data mining’s application.
Key concepts: Computer science, Association rule learning, Microsoft Visual Studio, Transaction data, Database transaction, Data mining, Credit card, Data warehouse