Machine learning-based approaches for large-scale temporal data analytics

• المؤلف الرئيسي: Seyed Ali Majid Zonoozi
• مؤلفون آخرون: Cong Gao
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2019
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Mathematics of computing::Mathematical software; DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/105859; http://hdl.handle.net/10220/47870; https://doi.org/10.32657/10220/47870

In many domains such as telecommunications, finance and sensor monitoring, large volumes of unlabeled temporal data are continuously generated in a sequential format, where the timestamps of the generated records are available. From a data analysis standpoint, there is significant utility to be gai...