Title
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.
Year
DOI
Venue
2016
10.1007/978-3-319-45378-1_49
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2016
Field
DocType
Volume
Data mining,Architecture,Computer science,Preprocessor,Artificial intelligence,Harmony search,Data series,Dilemma,Big data,Machine learning,Grid,Metaheuristic
Conference
9842
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Jerzy Balicki1245.65
Piotr Dryja200.34
waldemar korlub331.43