Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
Introducing enterprise information systems (EIS) is usually associated with high costs. It is therefore crucial to understand those factors that determine or influence these costs...
—In this paper, we evaluate the performance of a WiMAX network in different frequency reuse scenarios with and without adaptive beaforming technique. We study the possibility of ...
Masood Maqbool, Marceau Coupechoux, Philippe Godle...
Position localization of transmitters can be carried out by an adversary owning a network of pervasive receivers, which can pinpoint the victim mobile nodes’ locations with high...
Ford-Long Wong, Min Lin, Shishir Nagaraja, Ian J. ...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...