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Optimized fuzzy association rule mining for quantitative data

Zheng, Hui, He, Jing, Huang, G and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2014) Optimized fuzzy association rule mining for quantitative data. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 06 July 2014-11 July 2014, Beijing.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781479920730
Uncontrolled Keywords: association rule mining; quantitative data analysis; fuzzy association rule; fuzzy sets
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Funders: http://purl.org/au-research/grants/arc/LP100200682
Depositing User: Symplectic Elements
Date Deposited: 29 Feb 2016 23:03
Last Modified: 26 Mar 2018 03:23
URI: http://vuir.vu.edu.au/id/eprint/30038
DOI: https://doi.org/10.1109/FUZZ-IEEE.2014.6891735
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Citations in Scopus: 7 - View on Scopus

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