Comprehensive Association Rules Mining of Health Examination Data with an Extended FP-Growth Method-Reference-Cited by-同舟云学术

Comprehensive Association Rules Mining of Health Examination Data with an Extended FP-Growth Method

Published:2017-01-04 Issue:2 Volume:22 Page:267-274
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Wang Bowei^ORCID,Chen Dan,Shi Benyun,Zhang Jindong,Duan Yifu,Chen Jingying,Hu Ruimin

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11036-016-0793-6.pdf

Reference32 articles.

1. Agrawal R (1993) Mining association rules between sets of items in large databases. SIGMOD Rec 22(2):207–216

2. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases. In: International conference on very large data bases, pp 487–499

3. Brin S, Motwani R, Silverstein C (1997) Beyond market baskets: generalizing association rules to correlations. ACM SIGMOD Rec 26(2):265–276

4. Chao HY (2013) Mining association rules between abnormal health examination results and outpatient medical records. HIM J 42(2):23–30

5. Chen D, Li X, Wang L, Khan SU et al (2015) Fast and scalable multi-way analysis of massive neural data. IEEE Trans Comput 64(3):707–719

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