Results 1 to 10 of about 2,506 (215)
Proposed Algorithm for Extracting Association Rule Depend on Closed Frequent Itemset (EACFI) [PDF]
Engineering and Technology Journal, 2011 Association rules are important one of data mining activities. All algorithms of association rule mining consist of finding frequency of itemsets, which satisfy a minimum support threshold, and then compute confidence percentage for each k-itemsets to ...
Emad k. Jbbar, Yaser Munther
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Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases
IEEE Access, 2023 Stable periodic-frequent itemset mining is essential in big data analytics with many real-world applications. It involves extracting all itemsets exhibiting stable periodic behaviors in a temporal database.
Hong N. Dao +5 more
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A Bitmap Approach for Mining Erasable Itemsets
IEEE Access, 2021 Erasable-itemset mining is a valuable method of pattern extraction for helping the manager of a factory analyze production planning. The erasable itemsets derived can be considered important production information regarding how to plan the production of ...
Tzung-Pei Hong +4 more
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Multi-Objective Optimization for High-Dimensional Maximal Frequent Itemset Mining
Applied Sciences, 2021 The solution space of a frequent itemset generally presents exponential explosive growth because of the high-dimensional attributes of big data. However, the premise of the big data association rule analysis is to mine the frequent itemset in high ...
Yalong Zhang +4 more
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Knowledge Engineering and Data Science, 2020 Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset.
Adie Wahyudi Oktavia Gama +1 more
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Hybrid Recommendation System Memanfaatkan Penggalian Frequent Itemset dan Perbandingan Keyword
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015 Abstrak Recommendation system sering dibangun dengan memanfaatkan data peringkat item dan data identitas pengguna. Data peringkat item merupakan data yang langka pada sistem yang baru dibangun.
Wayan Gede Suka Parwita, Edi Winarko
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Maximal Frequent Itemset Mining Algorithm Based on Nodeset [PDF]
Jisuanji gongcheng, 2016 The major performance bottlenecks of most maximal frequent itemset mining algorithms based on FP-Tree are caused by recursively traversing and constructing conditional FP-Trees and superset check.Therefore,this paper proposes a maximal frequent itemset ...
LIN Chen,GU Junzhong
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Implementasi Data Mining Pada Perpustakaan Untuk Penentuan Tata Letak Buku Dalam Menarik Minat Baca
Techno.Com, 2022 Perpustakaan memiliki sistem informasi untuk mempermudah manajemen sirkulasi buku. Sistem informasi biasanya hanya menghasilkan laporan harian, mingguan atau bahkan bulanan saja.
Adie Wahyudi Oktavia Gama +2 more
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Hybrid Parallel Frequent Itemsets Mining Algorithm by Using N-List Structure [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the problem of unbalanced load, bad efficiency of N-list merge and redundant search for each node based on parallel frequent itemset mining algorithm MRPrePost (parallel PrePost algorithm based on MapReduce), this paper proposes a hybrid ...
LIU Weiming, ZHANG Chi, MAO Yimin
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Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2016 AbstrakAlgoritma yang umum digunakan dalam proses pencarian frequent itemset (data yang paling sering muncul) adalah Apriori. Tetapi Algoritma Apriori mempunyai memiliki kekurangan yaitu membutuhkan waktu yang lama dalam proses pencarian frequent itemset.
Wirdah Choiriah
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