Deep learning based anomaly detection in time-series data

• المؤلف الرئيسي: Zeng, Jinpo
• مؤلفون آخرون: A S Madhukumar
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/137949
• المؤسسة: Nanyang Technological University

Anomaly detection, also called outlier detection, on the multivariate time-series data is applicable to multiple domains. With the proliferation of deep learning-based methods, we aim to leverage on them to tackle anomaly detection, mainly on the field of industry data (server machines and spacecraf...