2024-03-28T23:06:54Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/5061
2021-12-13T02:47:43Z
1582963302567:1597824273898
user-ucsy
Analyzing Calendar based Association Rule Using FP-growth Algorithm
Phyo, Thazin
Soe, Khin Mar
This paper is presented the miningassociation rules among items in a large databaseof sales transactions. The mining of associationrules can be mapped into the problem ofdiscovering large itemsets which appear in asufficient number of transactions. Association rulemining plays an essential role in data mining. Theknowledge used for mining rule depends ontime(month, season) in real world and so calendarbased association rule is needed to consider.Calendar pattern is used to restrict the timeinterval. Calendar based association rules is aninteresting extension to association rules byincluding a calendar pattern. Frequent-PatternGrowth (FP-Growth) algorithm is used togenerate the calendar based association rules.FP-Growth is a method of mining frequentitemsets without candidate generation. The systemgenerates the calendar based association ruleusing FP-Growth algorithm and analyze on theresult.
2017-12-27
http://hdl.handle.net/20.500.12678/0000005061
https://meral.edu.mm/records/5061