Incremental learning for large scale data stream analytic...
Za'in, Choiru
Nowadays, in the era of the Internet of Things (IoT), data are generated from devices/sensors in the form of text, images, videos, etc. Data from sensors arrive continuously from multiple sources, different environments as data streams [1]. As a result, vast volumes of data can be generated in the cloud over time. Furthermore, data streams are also characterized by non-stationary environments that come from real-world applications [2]. Due to ...