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.
Authors
- dr hab. inż. Jerzy Balicki,
- mgr inż. Piotr Dryja link open in new tab ,
- dr inż. Waldemar Korłub link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-319-45378-1_49
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2016
Source: MOSTWiedzy.pl - publication "Harmony Search for Data Mining with Big Data" link open in new tab
