Association Rule Mining: Applications in Various Areas
Akash Rajak, Mahendra Kumar Gupta · 2009
This paper presents the various areas in which the association rules are applied for effective decision making. Association rule mining seeks to discover associations among transactions encoded in a database. It can be used to improve decision making in a wide variety of applications such as: market basket analysis, medical diagnosis, bio-medical literature, protein sequences, census data, logistic regression, fraud detection in web, CRM of credit card business etc.