Genetic Programming Based Feature Construction for Classification with Incomplete Data
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Tran:2017:GECCOa,
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author = "Cao Truong Tran and Mengjie Zhang and
Peter Andreae and Bing Xue",
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title = "Genetic Programming Based Feature Construction for
Classification with Incomplete Data",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4920-8",
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address = "Berlin, Germany",
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pages = "1033--1040",
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size = "8 pages",
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URL = "http://doi.acm.org/10.1145/3071178.3071183",
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DOI = "doi:10.1145/3071178.3071183",
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acmid = "3071183",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming,
classification, feature construction, incomplete data",
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month = "15-19 " # jul,
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abstract = "Missing values are an unavoidable problem in many
real-world datasets. Dealing with incomplete data is an
crucial requirement for classification because
inadequate treatment of missing values often causes
large classification error. Feature construction has
been successfully applied to improve classification
with complete data, but it has been seldom applied to
incomplete data. Genetic programming-based multiple
feature construction (GPMFC) is a current encouraging
feature construction method which uses genetic
programming to evolve new multiple features from
original features for classification tasks. GPMFC can
improve the accuracy and reduce the complexity of many
decision trees and rule-based classifiers; however, it
cannot directly work with incomplete data. This paper
proposes IGPMFC which is extended from GPMFC to tackle
with incomplete data. IGPMFC uses genetic programming
with interval functions to directly evolve multiple
features for classification with incomplete data.
Experimental results reveal that not only IGPMFC can
substantially improve the accuracy, but also can reduce
the complexity of learnt classifiers facing with
incomplete data.",
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notes = "Also known as \cite{Tran:2017:GPB:3071178.3071183}
GECCO-2017 A Recombination of the 26th International
Conference on Genetic Algorithms (ICGA-2017) and the
22nd Annual Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Cao Truong Tran
Mengjie Zhang
Peter Andreae
Bing Xue
Citations