Abstrak
 FO Hilon adalah menjual barang berupa furniture rumah dengan bahan baku berpacu pada darcon, akan lebih baik bila dilakukan analisis toko tersebut. Penelitian ini karena adanya data transaksi penjualan yang terus menumpuk untuk setiap tahunnya. Sehingga perlu dilakukannya tersebut agar tidak disimpan secara percuma. Untuk melihat pengaruh maka teknik mining mana menggunakan metode...

The pattern growth approach of association rule mining is very efficient as avoiding the candidate generation step which was utilized in Apriori algorithm. Here, revisited of the pattern growth approaches are done to improve the performance using different criteria like item search order, conditional database representation and construction approach and tree traversal ways. The header table con...

This paper deals with the effective utilization of association rule mining algorithms in large databases used for especially business organizations where the amount of transactions and items plays a crucial role for decision making. Frequent item-set generation and the creation of strong association rules from the frequent item-set patterns are the two basic steps in association rule mining. We...

Efficient algorithms to discover frequent patterns are essential in data mining research. Frequent pattern mining is emerging as powerful tool for many business applications such as e-commerce, recommender systems and supply chain management and group decision support systems to name a few. Several effective data structures, such as two-dimensional arrays, graphs, trees and tries have been prop...