Proceedings of the Fuzzy System Symposium
35th Fuzzy System Symposium
Session ID : FG3-1
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An Improvement of the DIS-Apriroi Algorithm for Rule Generation from Table Data Sets
*Asuka Yamasaki, Zhiwen Jian, Michinori Nakata, Hiroshi Sakai
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Abstract

We implemented some software tools which generate rules from table data sets. The one is DIS-Apriori in SQL for deterministic information tables and the other is NIS-Apriori in SQL for non- deterministic information tables. Even though the Apriori algorithm was proposed for handling the trans- action data set form, two software tools were adjusted to handle the tabular data set form. Recently, we examined the di􏰉erence between two forms, and proved some properties in rule generation. This paper describes an overview of the properties and the improvement of DIS-Apriori in SQL.

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© 2019 Japan Society for Fuzzy Theory and Intelligent Informatics
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