C4.5: programs for machine learning
C4.5: programs for machine learning
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
A Relevancy Filter for Constructive Induction
IEEE Intelligent Systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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One of the approaches to generate a good decision tree is preprocessing the data to improve its description. There are many researches on data pre-processing such as attributes generation and attributes selection methods. However, most of them are based on logic programming so that it takes much run time. Additionally, some of them need a priori knowledge. These are disadvantage for the data mining. We propose a novel data driven approach that knowledge on the relevance of attributes are generated as association rules from the data, so a priori knowledge is not necessary. In this paper, we present the method and clarify its feature. The effectiveness of our method as data mining one is evaluated through experiments.