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Harmony Search for Data Mining with Big Data

Abstract : In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover, harmony search as a classification algorithm is studied as the third application. Finally, some outcomes for numerical experiments are submitted.
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Submitted on : Friday, November 17, 2017 - 3:43:06 PM
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Jerzy Balicki, Piotr Dryja, Waldemar Korłub. Harmony Search for Data Mining with Big Data. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.553-565, ⟨10.1007/978-3-319-45378-1_49⟩. ⟨hal-01637454⟩



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