Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications

被引：0

作者：

Rutschi, Corinna ^{[1
]}

Berente, Nicholas ^{[2
]}

Nwanganga, Frederick ^{[2
]}

机构：

[1] Univ Bern, Bern, Switzerland

[2] Univ Notre Dame, Mendoza Coll Business Notre Dame, Notre Dame, IN USA

来源：

INFORMATION SYSTEMS FRONTIERS | 2024年 / 26卷 / 02期

关键词：

Machine learning; Data sensitivity; Domain specificity; Reuse;

D O I：

10.1007/s10796-023-10388-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：633 / 640

页数：8

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