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EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data.

, , , и . Knowl. Inf. Syst., 62 (9): 3565-3583 (2020)

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Krishan Kumar

Shneh Sethi

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Krishan Lal

 

Другие публикации лиц с тем же именем

HUIM-SMP: High utility itemset mining based stock market analogy., , , и . ICCCNT, стр. 1-6. IEEE, (2019)Parallel High Average-Utility Itemset Mining Using Better Search Space Division Approach., , и . ICDCIT, том 11319 из Lecture Notes in Computer Science, стр. 108-124. Springer, (2019)PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark., , и . SoCPaR, том 614 из Advances in Intelligent Systems and Computing, стр. 351-363. Springer, (2016)Delay Scheduling with Reduced Workload on JobTracker in Hadoop., и . IBICA, том 424 из Advances in Intelligent Systems and Computing, стр. 371-381. Springer, (2015)Correlated High Average-Utility Itemset Mining., и . FICTA (1), том 1176 из Advances in Intelligent Systems and Computing, стр. 485-497. Springer, (2020)EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data., , , и . Knowl. Inf. Syst., 62 (9): 3565-3583 (2020)