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.
Liste complète des métadonnées

Cited literature [27 references]  Display  Hide  Download

https://hal.inria.fr/hal-01637454
Contributor : Hal Ifip <>
Submitted on : Friday, November 17, 2017 - 3:43:06 PM
Last modification on : Saturday, November 18, 2017 - 1:16:35 AM
Document(s) archivé(s) le : Sunday, February 18, 2018 - 4:07:42 PM

File

419526_1_En_49_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

24

Files downloads

12