In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
If presented with inaccurate statistics, even the most sophisticated query optimizers make mistakes. They may wrongly estimate the output cardinality of a certain operation and th...
Peter J. Haas, Mokhtar Kandil, Alberto Lerner, Vol...
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...
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight, together with performance considerations. Energy-conscious design is...
Ning An, Anand Sivasubramaniam, Narayanan Vijaykri...