Cardiovascular Disease Analysis Using Correlational Analysis and Association Rules Mining for In-depth Analysis to Identify Predominant Variables-Reference-Cited by-同舟云学术

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Cardiovascular Disease Analysis Using Correlational Analysis and Association Rules Mining for In-depth Analysis to Identify Predominant Variables

Published:2023-02-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
language:
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Author:

Siswanto Boby¹,Soeparno Haryono¹,Sianipar Nesti F.²,Budiharto Widodo³

Affiliation:

1. Bina Nusantara University,BINUS, Graduate Program- Computer Science,Computer Science Department,Jakarta,Indonesia

2. Bina Nusantara University,Engineering Faculty,Food Technology Department,Jakarta,Indonesia

3. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127649/10127667/10127722.pdf?arnumber=10127722

Reference25 articles.

1. The Correlation Between Intensity and Objectives of Using The Internet Towards Students Learning Achievement Using Apriori Algorithm

2. Association Rules Mining for Hospital Readmission: A Case Study

3. A Survey on Behavioral Pattern Mining From Sensor Data in Internet of Things

4. Detection of Schistosomiasis Factors Using Association Rule Mining

5. Algorithms for frequent itemset mining: a literature review

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. Multilevel Association Mining with Particle Swarm Optimization: A Comprehensive Approach for High-Utility Itemset Discovery;Lecture Notes in Networks and Systems;2024

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