2026-10-25T10:16:35Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3641 2021-12-13T03:55:19Z 1582963302567:1597824273898 user-ucsy

Mining Association Rules for Construction Accessories Shop Thein, Lwin Po Po Nyunt, Kyi Zar In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Association rules describe events that tend to occur together. Association rules are “if-then rules” with two measures which quantify the support and confidence of the rule for a given data set. This paper describes which products tend to be purchased together at the construction accessories shop. The proposed system has a large database of customer transcation. Each transcation consists of items purchased by a customer in a visit. In this paper, the system ppresents resultws of applying the apriori algorithm which is the standard algorithm to mine association rules for sales data of the construction. 2011-12-29 http://hdl.handle.net/20.500.12678/0000003641 https://meral.edu.mm/records/3641