信用卡客户消费行为挖掘中的数据预处理

在数据挖掘过程中数据预处理至关重要,针对不同的领域和行业,数据预处理的方法千差万别。详细描述信用卡客户细分和关联规则分析中的数据预处理过程,首先从信用卡系统数据库中选择与分析主题有关的数据表,然后对经过选取后得到的数据,通过数据清理、集成、变换和归约处理过程得到挖掘所需的样本数据。

Data Preprocessing in Consuming Behavior Mining of Credit Card Industry

Data preprocessing is critical in data mining process,application fields and industries are different,the methods are also different.Describes the data preprocessing of credit card in customer segmentation and association analysis mining in details.Firstly,selects some tables from credit card database which concerned with analysis topic.For the selected data is handled with problems,such as noisy data,missing values and normalization,data preprocessing,which mainly include data cleaning,integration,transformation and reduction,is well used to process sample data,and obtains training sample data needed by data mining.