Mining significant crisp-fuzzy spatial association rules-Reference-Cited by-同舟云学术

Mining significant crisp-fuzzy spatial association rules

Published:2018-02-08 Issue:6 Volume:32 Page:1247-1270
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Shi Wenzhong¹^ORCID,Zhang Anshu¹^ORCID,Webb Geoffrey I.²^ORCID

Affiliation:

1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, P.R. China

2. Faculty of Information Technology, Monash University, Clayton, Victoria, Australia

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

The Hong Kong Polytechnic University

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2018.1434525

Reference49 articles.

1. Agrawal, R., Imielinski, T., and Swami, A., 1993. Mining associations between sets of items in massive databases. IP. Buneman and S. Jajodia, eds. 1993 ACM-SIGMOD International conference on management of data. May 25-28 1993 Washington, DC, USA. New York: ACM, 207–216.

2. A Survey of Exact Inference for Contingency Tables

3. Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining

4. Generalized association rule mining with constraints

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