The full text of this article

 

Application of association rule algorithm to industrial safety data mining
by Jirachai Buddhakulsomsiri; Warut Pannakkong; Suebsak Nanthavanij
International Journal of Industrial and Systems Engineering (IJISE), Vol. 21, No. 4, 2015

 

Abstract: This article presents an association rule-generation algorithm for mining industrial safety data. Examples of accident data are information about injured workers (e.g., age, gender, work experience), date and time of accidents, and severity level of accidents. The proposed algorithm implements the elementary set concept to generate useful relationships between accidents and worker-related attributes and severity of accidents. The relationships are presented as IF-THEN association rules, where the IF statement(s) include a set of accident condition attributes and the THEN statement(s) include attributes that represent a decision outcome (i.e., accident severity). After the rules are generated, the algorithm applies a user-specified filter and a statistical significance test to identify important rules. The rules that pass the filter and the significance test are then reported in the solution. A case study of using the algorithm to mine real safety data obtained from a selected industry is presented, along with examples of reported rules and their interpretations.

Online publication date: Tue, 27-Oct-2015

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com