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.
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CITATION STYLE
Jȩdrzejowicz, J., Jȩdrzejowicz, P., & Wierzbowska, I. (2018). Parallel GEP ensemble for classifying big datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11056 LNAI, pp. 234–242). Springer Verlag. https://doi.org/10.1007/978-3-319-98446-9_22
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