Data-driven approaches for spatio-temporal analysis: a survey of the state-of-the-arts

• المؤلفون الرئيسيون: Das, Monidipa, Ghosh, Soumya K.
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Data-Driven Modeling; Spatio-Temporal Data
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161147

With the advancement of telecommunications, sensor networks, crowd sourcing, and remote sensing technology in present days, there has been a tremendous growth in the volume of data having both spatial and temporal references. This huge volume of available spatio-temporal (ST) data along with the rec...