Predictive Data Transformation Suggestions in Grafterizer Using Machine Learning

Saliha Sajid
Saliha Sajid
Bjørn Marius von Zernichow
Bjørn Marius von Zernichow

MTSR, pp. 137-149, 2019.

Cited by: 0|Bibtex|Views9|DOI:https://doi.org/10.1007/978-3-030-36599-8_12
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Data preprocessing is a crucial step in data analysis. A substantial amount of time is spent on data transformation tasks such as data formatting, modification, extraction, and enrichment, typically making it more convenient for users to work with systems that can recommend most relevant transformations for a given dataset. In this paper,...More

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