文章基本信息

标题：Integrating Association Rules with Decision Trees in Object-Relational Databases
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作者：Maruthi Rohit Ayyagari
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2019
卷号：67
期号：3
页码：102-108
DOI：10.14445/22312803/IJCTT-V67I3P120
出版社：Seventh Sense Research Group
摘要：Research has provided evidence that associative classificationproduces more accurate results compared to other classification models. The Classification Based on Association (CBA) is one of the famous Associative Classification algorithms that generates accurate classifiers. However, current association classification algorithms reside externalto databases, which reduces the flexibility of enterprise analytics systems. Thispaper implementsthe CBA in Oracledatabase using two variant models—hardcoding the CBA in Oracle Data Mining (ODM)package and Integrating OracleApriori model with the OracleDecision tree model. We comparedthe proposed model performance with Naïve Bayes, Support Vector Machine, Random Forests, and Decision Tree over 18 datasets from UCI. Results showed that our models outperformed the original CBA model with 1% and is competitive to chosen classification models over benchmark datasets.
关键词：Associative Classification; Decision Trees; CBA; Oracle;Data Mining;Database