JOURNAL ARTICLE

Multi Objective Association Rule Mining with Soft Computing Approach

Lokesh Gagnani

Year: 2020 Journal:   2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Vol: 233 Pages: 968-971

Abstract

Due to widespread use of Internet nowadays, there is a tremendous increase in amount of data especially from the social media platforms. Further, the extraction of useful patterns is required from these huge data stored in datasets. Thus the soft computing is gaining importance due to the incorporation of the Artificial Intelligence and the Machine Learning. In this paper Multi Objective Association Rule Mining is employed with medical datasets. The results are implemented with various multi objective measures like confidence, support, etc. Various level of datasets are employed to authenticate the results of the proposed method of association rule mining. The datasets considered are numerical in nature.

Keywords:
Association rule learning Computer science Data mining Soft computing The Internet Association (psychology) Machine learning Artificial intelligence Artificial neural network World Wide Web

Metrics

2
Cited By
0.33
FWCI (Field Weighted Citation Impact)
13
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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