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.

Full text for this resource is not available from the Research Repository.

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
ePrint Statistics:	View download statistics for this item
Citations in Scopus:	7 - View on Scopus

Repository staff only

	View Item

Search Google Scholar