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Optimized fuzzy association rule mining for quantitative data
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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.
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
Item Type: | Conference or Workshop Item (Paper) |
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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 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 8 - View on Scopus |
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