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   Articles with "data transformation" as a keyword



Visualizing the Scripts of Data Wrangling with SOMNUS

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recommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3144975

Abstract: Data workers use various scripting languages for data transformation, such as SAS, R, and Python. However, understanding intricate code pieces requires advanced programming skills, which hinders data workers from grasping the idea of data transformation… read more here.

Keywords: visualizing scripts; semantics; somnus; data transformation ... See more keywords
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Rigel: Transforming Tabular Data by Declarative Mapping

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recommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209385

Abstract: We present Rigel, an interactive system for rapid transformation of tabular data. Rigel implements a new declarative mapping approach that formulates the data transformation procedure as direct mappings from data to the row, column, and… read more here.

Keywords: tabular data; data transformation; rigel; declarative mapping ... See more keywords
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Revealing the Semantics of Data Wrangling Scripts With Comantics

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recommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209470

Abstract: Data workers usually seek to understand the semantics of data wrangling scripts in various scenarios, such as code debugging, reusing, and maintaining. However, the understanding is challenging for novice data workers due to the variety… read more here.

Keywords: semantics; wrangling scripts; data transformation; data wrangling ... See more keywords

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection

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recommendations! Published in 2022 at "PLOS ONE"

DOI: 10.1371/journal.pone.0278095

Abstract: Customer churn is one of the most critical issues faced by the telecommunication industry (TCI). Researchers and analysts leverage customer relationship management (CRM) data through the use of various machine learning models and data transformation… read more here.

Keywords: transformation methods; customer churn; data transformation; prediction ... See more keywords