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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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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Computer Information Systems and Industrial Management, 15th IFIP TC8 International Conference, CISIM 2016, Vilnius, Lithuania, September 14-16, 2016, Proceedings strony 553 - 565
Language:
English
Publication year:
2016
Bibliographic description:
Balicki J., Dryja P., Korłub W..: Harmony Search for Data Mining with Big Data, W: Computer Information Systems and Industrial Management, 15th IFIP TC8 International Conference, CISIM 2016, Vilnius, Lithuania, September 14-16, 2016, Proceedings, 2016, Springer International Publishing,.
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-45378-1_49
Verified by:
Gdańsk University of Technology

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