Abstract:
Computer software are widely used in
economic functions. It has sale system, accessory
system and rate system. There are so many kinds
of analysis tools to find out number of sale, list of
credit and loss and profit. Nowadays, many
industries are becoming interested in mining
association rule from their database with a large
amount of data being collected and stored. Data
Mining is the process of discovering interesting
patterns from large amount of data in database. In
this paper, the best sale itemsets are searched
based on data mining system. The frequent
itemsets are searched by using Apriori Algorithm
and then produce the Association Rule. Frequent
itemsets are the best sale itemsets and to find
them, user must input the minimum support count.
Then, the manager or retailers can use these
results for planning marketing or advertising
strategies, catalog design, as well as different
store layouts.
