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24.934  Articles
1 of 2.494 pages  |  10  records  |  more records»
Salah satu tahapan dalam penelitian yang harus dilakukan adalah mencari referensi jurnal yang relevan dengan penelitian yang akan dikerjakan. Dalam melakukan pencarian referensi, biasanya peneliti memasukan kata kunci atau keyword yang sesuai dengan tema ... see more

In this paper we suggest a new method for frequent itemsets mining, which is more efficient than well known Apriori algorithm. The method is based on special structure called Rymon tree. For its implementation, we suggest modified sort-merge-join algorith... see more

The implementation of parallel algorithms is very interesting research recently. Parallelism is very suitable to handle large-scale data processing. MapReduce is one of the parallel and distributed programming models. The implementation of parallel progra... see more

Frequent itemset mining leads to the discovery of associations and correlations among items in large transactional databases. Apriori is a classical frequent itemset mining algorithm, which employs iterative passes over database combining with generation ... see more

Discovering All Frequent Items is one of the most important steps in the association rules mining process. Typically, the minimum support is used as a criterion for selecting an interesting itemset. There are many researchers who focus to improve the effi... see more

Perpustakaan memiliki sistem informasi untuk mempermudah manajemen sirkulasi buku. Sistem informasi biasanya hanya menghasilkan laporan harian, mingguan atau bahkan bulanan saja. Data mining adalah suatu cara dalam menemukan pengetahuan baru pada basis da... see more

Data mining adalah kaidah ilmu yang semakin berkembang pesat saat ini dan semakin bahkan harus digunakan dalam teknologi saat ini dan seterusmya. Terdapat beberapa teknik dalam datamining yang bisa digunakan untuk mengumpulkan informasi yang ada pada data... see more

Mainstream issue in data mining, which is called "high-utility itemset mining" or all the more for the most part utility mining. High Utility Itemsets which are itemsets having an utility gathering a client determined least utility edge value i.e min_util... see more

Discovering association rules that identify relationships among sets of items is an important problem in data mining. It’s a two steps process, the first step finds all frequent itemsets and the second one constructs association rules from these frequent ... see more

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