Automated Feature Discovery

doi:10.5281/zenodo.12755373

Published July 17, 2024 | Version 2.1

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Automated Feature Discovery

Ionescu, Andra-Denis (Researcher)¹

1. Delft University of Technology

Contributors

Editors:

Researcher:

Ionescu, Andra-Denis¹

1. Delft University of Technology

Software accompanying the research paper "AutoFeat: Transitive Feature Discovery over Join Paths" ICDE 2024

Files

autofeat-2.1.zip

Files (2.5 MB)

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autofeat-2.1.zip md5:489a39f2aa59f8d2771f1a46c8e60793	2.5 MB	Preview Download

Additional details

Available: 2024-07-17

Version 2.1 available

Repository URL: https://github.com/delftdata/autofeat/tree/v2.1
Programming language: Python
Development Status: Active

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DOI

Resource type

Software

Publisher

Zenodo

Published in

AutoFeat: Transitive Feature Discovery over Join Paths, ISSN: 2375-026X, 2024.

Awarding university

Delft University of Technology

Conference

2024 IEEE 40th International Conference on Data Engineering (ICDE) , Utrecht, The Netherlands, 13-17 May 2024 (Session Database technology for AI II)

Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: July 17, 2024
Modified: July 17, 2024

Automated Feature Discovery

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Contributors

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Researcher:

Description

Files

autofeat-2.1.zip

Files (2.5 MB)

Additional details

Dates

Software