Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
For many years, researchers and software developers have been seeking to develop systems and applications to enable efficient and effective group work and organizational memory. ...
Abstract. The unprecedented growth and increased importance of geographically distributed spatial data has created a strong need for efficient sharing of such data. Interestingly, ...
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
— Emulating Output Queued (OQ) Switch with sustainable implementation cost and low fixed delay is always preferable in designing high performance routers. The SwitchMemory-Switch...
Nan Hua, Yang Xu, Peng Wang, Depeng Jin, Lieguang ...