Showing papers on "Apriori algorithm published in 1970"

Clustering e-Banking Customer using Data Mining and Marketing Segmentation

Abstract: In Thailand e-banking has been offered by various financial institutes including Thai commercial banks and government banks. However, e-banking in Thailand is not widely used and accepted as in other countries. Accordingly, the study of e-banking is scantly due to the limitation of data confidentiality. This study uses data mining techniques to analyse historical data of e-banking usages from a commercial bank in Thailand. These techniques including SOMS, K-Mean algorithm and marketing techniques-RFM analysis are used to segment customers into groups according to their personal profiles and e-banking usages. Then Apriori algorithm is applied to detect the relationships within features of e-banking services. Typically, results of this study are presented and can be used to generate new service packages which are customised to each segment of e-banking users.

Mining Rare Association Rules on Banpheo Hospital (Public Organization) via Apriori MSG-P Algorithm

Abstract: Mining association rule is one of the important techniques in data mining to exploit hidden knowledge in large database. Many businesses in several areas need this technique for examine their enormous information, and public health is the one area that highly requires. Several hidden information conceal in daily operation data such as relation between visit time and symptom, relation between disease and patient age, etc. By the way, association rule discovery via traditional Apriori algorithm, the fundamental way to retrieve hidden rules, has to pay with tremendous resources and time. This research implements the modification of association rule mining technique, Apriori MSG-P, in operational database of Banpheo hospital (Public Organization), Sumutsakon province, Thailand. The objectives target on epidemic information and patient behavior on hospital’s services. The research’s outcomes show that our implementation can evaluate a lot of valuable information that can be used by both of operation staffs and executive staffs. Moreover, the research’s outcomes demonstrate that Apriori MSG-P can be the proper one technique that can implement the realworld databases.