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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CITATION STYLE
Parisot, O., Didry, Y., & Tamisier, T. (2014). Data Wrangling: A Decisive Step for Compact Regression Trees. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8683, 60–63. https://doi.org/10.1007/978-3-319-10831-5_8
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