Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
This paper studies a number of hash-based join algorithms for general purpose multiprocessor computers with shared memory where the amount of memory allocated to the join operatio...
Future Web applications will increasingly require real-time data from the physical world collected by a myriad of sensors and actuators. Currently, integration of such devices requ...
Online classification of network traffic is very challenging and still an issue to be solved due to the increase of new applications and traffic encryption. In this paper, we prop...
The context of the user queries, preceding a given query, is utilized to improve the effectiveness of query classification. Earlier efforts utilize fixed number of preceding queri...