Incremental Closed Frequent Itemsets Mining-Based Approach Using Maximal Candidates by Mohammed A. Al-Zeiadi, Basheer M. Al-Maqaleh

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Hiding Sensitive Frequent Itemsets over Privacy Preserving Distributed Data by Alaa Jumaa, Sufyan Al-Janabi, Nazar Ali

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Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining by Huina Zhang, Hui Li, Yumei Li, Guangqiang Teng, Xianbing Cao

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Efficient Discovery of Association Rules in E-Commerce: Comparing Candidate Generation and Pattern Growth Techniques by Ioan Daniel Hunyadi, Nicolae Constantinescu, Oana-Adriana Țicleanu

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IMPLEMENTATION OF DYNAMIC AND FAST MINING ALGORITHMS ON INCREMENTAL DATASETS TO DISCOVER QUALITATIVE RULES by Pannangi Naresh, R. Suguna

Subjects: “…frequent itemset…”
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EVALUASI KINERJA ALGORITMA ASSOCIATION RULE by Gysber J. Tamaela

Subjects: “…association rule, apriori, cut both ways, maximal frequent itemset…”
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Analisis Minat Konsumen Pada Produk CV Jakarta Powder Drink Dengan Menggunakan Metode Asosiasi Algoritma FP Growth by Novia Febrianty, Ati Zaidiah, Helena Nurramdhani Irmanda

Subjects: “…association rule mining, algoritma fp growth, minat konsumen, frequent itemset, manajemen stok…”
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Sp-IEclat: A Big Data Parallel Association Ｒule Mining Algorithm by LI Cheng-yan, XIN Xue, ZHAO Shuai, FENG Shi-xiang

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On Neutrosophy logic for Multiple Correlation Analysis in Fuzzy Uncertain Database by Samar Wazir, M.M. Sufyan Beg, Tanvir Ahmad, Shahab Saquib Sohail

Subjects: “…frequent itemset mining…”
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