Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
In processors that do not support floating-point instructions, using fixed-point arithmetic instead of floating-point emulation trades off computation accuracy for execution spe...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
As organizations change, their information systems can evolve from simple systems to complex systems, which are hard to understand, and therefore hard to maintain or extend. Proces...
Melike Bozkaya, Joost Gabriels, Jan Martijn E. M. ...
— Modern cities are becoming increasingly networked Network Operator and the Service Providers can introduce environments and a plethora of computing equipment interacts their ow...
Antonis M. Hadjiantonis, Marinos Charalambides, Ge...