Parallel GEP ensemble for classifying big datasets

Joanna Jędrzejowicz , Piotr Jędrzejowicz , Izabela Wierzbowska

Abstract

The paper describes a GEP-based ensemble classifier constructed using the stacked generalization concept. The classifier has been implemented with a view to enable parallel processing, with the use of Spark and SWIM - an open source genetic programming library. The classifier has been validated in computational experiments carried-out on benchmark datasets.
Author Joanna Jędrzejowicz (FMPI / II)
Joanna Jędrzejowicz,,
- Institute of Informatics
, Piotr Jędrzejowicz
Piotr Jędrzejowicz,,
-
, Izabela Wierzbowska
Izabela Wierzbowska,,
-
Pages234-242
Publication size in sheets0.5
Book Nguyen Ngoc Thanh, Pimenidis Elias, Khan Zaheer, Trawiński Bogdan (eds.): Computational collective intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, proceedings, pt. 2, Lecture Notes In Computer Science, no. 11056, 2018, Springer, ISBN 978-3-319-98445-2, [978-3-319-98446-9], 546 p., DOI:10.1007/978-3-319-98446-9
Keywords in Englishgene expression, classification, Big Data
DOIDOI:10.1007/978-3-319-98446-9_22
URL https://link.springer.com/content/pdf/10.1007%2F978-3-319-98446-9.pdf
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 07-09-2018, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 07-09-2018, BookChapterSeriesAndMatConfByIndicator
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