Early detection of violating Mobile Apps: A data-driven predictive model approach
Mobile app stores are the key distributors of mobile applications. They regularly apply vetting processes to the deployed apps. Yet, some of these vetting processes might be inadequate or applied late. The late removal of applications might have unpleasant consequences for developers and users alike...
| Published in: | Systems and Soft Computing |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941922000114 |
