2019/11/28 by Aziz Mohaisen, David Mohaisen, Songqing Chen +2
Business, Management and Accounting · Computer Science · #Anomaly Detection Techniques and Applications #Big Data and Business Intelligence #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.CR #cs.CY #cs.LG
paper · pdf · doi:10.48550/arxiv.1911.12593
5 pages; 0 figures; 0 tables. To appear in IEEE TPS 2019 (vision track)
arxiv created 2019/11/28 · openalex publication_date 2019/11/28 · arxiv updated 2019/12/02 · openalex created_date 2021/03/01 · openalex updated_date 2026/07/28
Machine learning techniques are finding many applications in computer systems, including many tasks that require decision making: network optimization, quality of service assurance, and security. We believe machine learning systems are here to stay, and to materialize on their potential we advocate a fresh look at various key issues that need further attention, including security as a requirement and system complexity, and how machine learning systems affect them. We also discuss reproducibility as a key requirement for sustainable machine learning systems, and leads to pursuing it.