Reshaped and Reduced Dimensionality Reduction Data Technique on Association Rule Mining-Reference-Cited by-同舟云学术

Reshaped and Reduced Dimensionality Reduction Data Technique on Association Rule Mining

Published:2021-11-10 Issue: Volume: Page:
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Container-title:2021 3rd International Symposium on Material and Electrical Engineering Conference (ISMEE)
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Author:

Siswanto Boby¹,Tanuar Evawaty¹,Rahmania Rissa¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9774033/9773329/09774190.pdf?arnumber=9774190

Reference28 articles.

1. Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

2. A novel association rule mining approach using TID intermediate itemset

3. Dimensionality reduction for association rule mining with IST-EFP algorithm

4. Association rule mining for identifying Dengue Hemorrhagic Fever (DHF) and Typhoid Fever (TF) disease with IST-EFP algorithm

5. Comparative Study on Apriori Algorithm and Fp Growth Algorithm with Pros and Cons;kavitha;International Journal of Computer Science Trends and Technology (IJCST),2016

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3. Cardiovascular Disease Analysis Using Correlational Analysis and Association Rules Mining for In-depth Analysis to Identify Predominant Variables;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16