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Parallel Eclat for Opportunistic Mining of Frequent Itemsets.

, , , , , и . DEXA (1), том 9261 из Lecture Notes in Computer Science, стр. 401-415. Springer, (2015)

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Liu Liu

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Ching Liu

 

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Parallel Eclat for Opportunistic Mining of Frequent Itemsets., , , , , и . DEXA (1), том 9261 из Lecture Notes in Computer Science, стр. 401-415. Springer, (2015)Multi-stage residual life prediction of aero-engine based on real-time clustering and combined prediction model., , , , и . Reliab. Eng. Syst. Saf., (2022)Mining frequent item sets by opportunistic projection., , , и . KDD, стр. 229-238. ACM, (2002)Deputy Mechanism for OLAP over Imprecise Data and Composite Measure., , и . CIT, стр. 65-70. IEEE Computer Society, (2007)Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering., и . ICDM, стр. 899-904. IEEE Computer Society, (2010)Multinomial Approach and Multiple-Bernoulli Approach for Information Retrieval Based on Language Modeling., , и . FSKD (1), том 3613 из Lecture Notes in Computer Science, стр. 580-583. Springer, (2005)Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption., , , и . DaWaK, том 9263 из Lecture Notes in Computer Science, стр. 70-81. Springer, (2015)Efficient Parallel Algorithm for Mining High Utility Patterns Based on Spark., , , , и . DSC, стр. 367-372. IEEE, (2019)Using Object Deputy Model to Prepare Data for Data Warehousing., , , , и . IEEE Trans. Knowl. Data Eng., 17 (9): 1274-1288 (2005)A New Method for Retrieval Based on Relative Entropy with Smoothing., , и . AAIM, том 3521 из Lecture Notes in Computer Science, стр. 183-191. Springer, (2005)