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Data Wrangling: A Decisive Step for Compact Regression Trees

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Cooperative Design, Visualization, and Engineering (CDVE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8683))

Abstract

Nowadays, modern visualization and decision support platforms provide advanced and interactive tools for data wrangling, in order to facilitate data analysis. Nonetheless, it is a tedious process that requires a deep experience in data transformation. In this paper, we propose an automated data wrangling method, based on a genetic algorithm, that helps to obtain simpler regression trees.

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Author information

Authors and Affiliations

  1. Public Research Centre Gabriel Lippmann, Belvaux, Luxembourg

    Olivier Parisot, Yoanne Didry & Thomas Tamisier

Authors
  1. Olivier Parisot
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  2. Yoanne Didry
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  3. Thomas Tamisier
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Balearic Islands, 07122, Palma de Mallorca, Spain

    Yuhua Luo

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© 2014 Springer International Publishing Switzerland

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Parisot, O., Didry, Y., Tamisier, T. (2014). Data Wrangling: A Decisive Step for Compact Regression Trees. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-10831-5_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10830-8

  • Online ISBN: 978-3-319-10831-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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