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Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications

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Bibliographic Details
Main Authors: Corinna, Rutschi, Nicholas, Berente, Frederick, Nwanganga
Format: Book
Language:English
Published: Springer 2023
Subjects:
Data Sensitivity
Domain Specificity
Online Access:https://link.springer.com/article/10.1007/s10796-023-10388-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7898
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spelling oai:localhost:PNK-78982023-04-13T08:27:20Z Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications Corinna, Rutschi Nicholas, Berente Frederick, Nwanganga Data Sensitivity Domain Specificity CC BY Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning applications based on different reuse strategies: generic, distinctive, selective, and exclusive. We conclude with lessons for developing and deploying machine learning applications. 2023-04-13T08:27:20Z 2023-04-13T08:27:20Z 2023 Book https://link.springer.com/article/10.1007/s10796-023-10388-4 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7898 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Data Sensitivity
Domain Specificity
spellingShingle Data Sensitivity
Domain Specificity
Corinna, Rutschi
Nicholas, Berente
Frederick, Nwanganga
Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
description CC BY
format Book
author Corinna, Rutschi
Nicholas, Berente
Frederick, Nwanganga
author_facet Corinna, Rutschi
Nicholas, Berente
Frederick, Nwanganga
author_sort Corinna, Rutschi
title Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
title_short Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
title_full Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
title_fullStr Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
title_full_unstemmed Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
title_sort data sensitivity and domain specificity in reuse of machine learning applications
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10796-023-10388-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7898
_version_ 1763090282171072512
score 8.891145

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