Title :
Association rules mining algorithm based on interest measure and its application in medical audit
Author :
Junli Chen ; Kai Liu ; Haishan Han ; Shasha Xing
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
How to use the data mining technology, to discover the potential mass audit data in doubt is the hot spot of audit technology research. This paper proposes a new association rules mining algorithm based on interest measure, to set up a new interest model, to improve the accuracy of the strong association rules, and apply it to the audit of the business data of medical fees, to realize the application of data mining technology in the medical audit.
Keywords :
auditing; data mining; medical administrative data processing; association rules mining algorithm; audit technology research; business data; data mining technology; interest measure; medical audit; medical fees; potential mass audit data discovery; Association Rules Mining; Interest; Medical Audit;
Conference_Titel :
Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
Conference_Location :
Shanghai
Electronic_ISBN :
978-1-84919-707-6
DOI :
10.1049/cp.2013.1958
