Association Rule Extraction and Correlation Analysis Framework for Dominant Feature Selection in Thyroid Disease Data

Author:

Sankar Sujithra1,S Sathyalakshmi2

Affiliation:

1. Hindustan Institute of Technology and Science,Department of Computer Applications,Chennai,Tamil Nadu,India

2. Hindustan Institute of Technology and Science,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Reference26 articles.

1. The design of an adaptive incremental association rule mining system;ogunde;Lecture Notes in Engineering and Computer Science WCE 2015 - World Congress on Engineering 2015,2015

2. Hybrid association rule learning and process mining for fraud detection;riyanarto;IAENG International Journal of Computer Science,2015

3. Association Rule Mining with Data Item including Independency based on Enhanced Confidence Factor;yingquan;Lecture Notes in Engineering and Computer Science Proceedings of The International MultiConference of Engineers and Computer Scientists 2017,2017

4. Data Classification Based on Feature Selec-tion with Association Rule Mining;nuntawut;Lecture Notes in Engineering and Com-puter Science Proceedings of the International Multi Conference of Engineers and Computer Scientists 2017,2017

5. High prevalence of undetected thyroid disorders in an iodine sufficient adult south Indian population;vm;J Ind Med Assoc,2009

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predictive Modeling for Thyroid Disease Diagnosis using Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

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