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Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View.

, , and . J. Softw., 11 (1): 80-93 (2016)

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An Efficient Sampling Scheme for Approximate Processing of Decision Support Queries., , and . ICEIS (1), page 16-26. SciTePress, (2012)CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth., and . ADC, volume 17 of CRPIT, page 95-104. Australian Computer Society, (2003)Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View., , and . J. Softw., 11 (1): 80-93 (2016)Retrieval characteristics of an untrained holographic index for image databases., and . ICIP (2), page 555-558. IEEE, (2003)Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers., , and . Australian Conference on Artificial Intelligence, volume 2903 of Lecture Notes in Computer Science, page 233-244. Springer, (2003)Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues., and . SAC (2), page 698-703. ACM, (2000)1-58113-240-9.Fast Frequent Itemset Mining using Compressed Data Representation., and . Applied Informatics, page 1203-1208. IASTED/ACTA Press, (2003)A Seamless Integration of Association Rule Mining with Database Systems, , and . CoRR, (2001)Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification., , and . Aust. J. Intell. Inf. Process. Syst., (2014)Towards Deep Learning in genome-Wide Association Interaction studies., , and . PACIS, page 20. (2016)