Serial multimethod Combined Mining

Combined Mining is an approach to combine various mining techniques to get more understandable and useful patterns from complex data. Different classical data mining techniques have their advantages and disadvantages so a single technique cannot be applied on different business data. Serial Multi-method Combined Mining (SMCM) is an approach where different mining techniques are used to get the patterns and finally the resultant patterns or rules are actionable. The actionable patterns are descriptive and assist us to finalize business decision. In SMCM, different mining methods are applied in predetermined sequential pattern. The resultant patterns of the previous method are also considered as a part of the input for the next method to be executed. SMCM helps to get advantages of different classical mining techniques to generate combined patterns but it needs the domain knowledge of business data for selection of different methods. The SMCM for credit card data by combining clustering and association techniques is demonstrated and experimental results are taken.