Abstract— We propose a packet sampling strategy called fixedperiod sampling, which selects at most one packet in every fixedlength period. Under the fixed-period sampling, the...
Abstract. In this paper, we extend the SHIFT-AND approach by BaezaYates and Gonnet (CACM 35(10), 1992) to the matching problem for network expressions, which are regular expression...
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited thr...
Anupam Bhattacharjee, Aminul Islam, Mohammad Shafk...
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...