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P2P-FISM: Mining (recently) frequent item sets from distributed data streams over P2P network.

, , and . Inf. Process. Lett., 113 (19-21): 793-798 (2013)

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Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases., , and . ICCSA (1), volume 3980 of Lecture Notes in Computer Science, page 1100-1109. Springer, (2006)An Efficient Distributed Algorithm for Mining Association Rules., , and . ISPA, volume 4330 of Lecture Notes in Computer Science, page 383-393. Springer, (2006)P2P-FISM: Mining (recently) frequent item sets from distributed data streams over P2P network., , and . Inf. Process. Lett., 113 (19-21): 793-798 (2013)A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology., , and . ICDM Workshops, page 65-69. IEEE Computer Society, (2006)Efficient mining of Fuzzy Association Rules from the Pre-Processed Dataset., and . Comput. Informatics, 31 (2): 331-347 (2012)Deep parallelization of parallel FP-growth using parent-child MapReduce., , , , , and . IEEE BigData, page 1422-1431. IEEE Computer Society, (2016)Distributed Frequent Item Sets Mining over P2P Networks., and . Comput. Informatics, 34 (2): 458-472 (2015)Max-FISM: Mining (recently) maximal frequent itemsets over data streams using the sliding window model., , and . Comput. Math. Appl., 64 (6): 1706-1718 (2012)Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach., and . ICDM Workshops, page 592-598. IEEE Computer Society, (2013)Efficient mining of frequent itemsets in social network data based on MapReduce framework., and . ASONAM, page 1183-1188. ACM, (2013)