Confidence Assessment Method for Association Rule Mining Based on Task Characteristics-Reference-Cited by-同舟云学术

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Confidence Assessment Method for Association Rule Mining Based on Task Characteristics

Published:2023-12-15 Issue: Volume:44 Page:621-625
ISSN:
Container-title:2023 9th International Conference on Big Data and Information Analytics (BigDIA)
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Author:

Lou Shuntian¹,Li Feng²,Liu Jingyi³,Yao Chen³,Pei Xinyu³,Chu Boce³,Zhu Jin³,Zhang Wenbo⁴,Du Ming³,Jiang Zhaochang³

Affiliation:

1. Xidian University,Faculty of Electronic Engineering,Shaanxi,China

2. The 54th Research Institute of CETC,Ministry of Aerospace,Shijiazhuang,China

3. The 54th Research Institute of CETC,Space Laboratory,Shijiazhuang,China

4. Xidian University,Electronic Engineering Institute,Shaanxi,China

Funder

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428932/10429051/10429420.pdf?arnumber=10429420

Reference19 articles.

1. Research and Prospect of Battlefield Situation Assessment Based on Machine Learning[J];Huo;Command Control and Simulation,2022

2. Intelligent Threat Assessment Algorithm Based on Deep Learning[J];Zhong;Modern Navigation,2022

3. Decision-making of Marine Environment Risk for Combined Operations Based on Imperfect Data Samples[J];Zhang;Military Operations Research and Assessment,2009

4. Imputation Algorithm for Hybrid Information System of Incomplete Data Analysis Approach based on Rough Set Theory[J];Peng;Journal of Computer Applications,2021

5. Mining Association Rules based on Rough Sets in Incomplete Information Systems[J];He;Intelligent Computer and Applications,2014

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