6533b851fe1ef96bd12a96c9

RESEARCH PRODUCT

Datamining: Pemanfaatan Algoritma Apriori dalam Menganalisa Pola-Pola Transaksi yang Terjadi

Dedi Iskandar Inan

subject

Set (abstract data type)Apriori algorithmTree (data structure)Relation (database)Order (exchange)Computer scienceMarket basketTrieInformationSystems_DATABASEMANAGEMENTAffinity analysisData miningcomputer.software_genrecomputer

description

This paper will be described about implementation and analysis of the well-known apriori algorithm, which is called Market Basket Analysis (MBA) in data mining. This algorithm is widely used to predict the relation among market basket in the huge amount of database. This algorithm is based on the concept of a prefix tree. There are several ways to organize the nodes of such a tree, to encode the items, and to organize the transactions, which may be used in order to minimize the time needed to find the frequent itemsets as well as to reduce the amount of memory needed to store the counters. The rules produced will be used by management of supermarket to organize the items set to increase the profit.

yearjournalcountryeditionlanguage
2012-06-21Jurnal Natural
https://doi.org/10.30862/jn.v9i2.330