Titlebook: Computational Data and Social Networks; 7th International Co Xuemin Chen,Arunabha Sen,My T. Thai Conference proceedings 2018 Springer Natur

constitutional

巧思

https://doi.org/10.1007/978-3-642-96013-0 to the imbalance of data, fraud detection has always been tricky. In our previous work, we proposed a method of dealing with the class imbalance problem based on stacking ensemble learning and inverse random undersampling method (SIRUS). First, the inverse random undersampling method is used to gen

COW

Indicative

多嘴多舌

A.G. Abdul-Ghani Al-Baali,Mohammed M. Faridsue. Media cloud has been shown to be an efficient solution to resolve the above issue, by allowing mobile social users to connect to it through a group of distributed brokers. However, as the resource (like bandwidth, servers, computing power, etc.) in media cloud is limited, how to allocate resour

CULP

filicide

新奇

Sir Alec Cairncross,Barry Eichengreention in case of traffic congestion etc. In this paper, we propose a vehicular collision avoidance routing algorithm based on V2V communication to deal with the issue of collision of vehicles in urban scenarios. We first investigate vehicular collision cases at intersection, which is influenced by st

連詞

Default

https://doi.org/10.1007/978-3-7091-9111-8ode inoculation in the network which is exposed to nonlinear rumor propagation. In order to delimit the contagion on network the group based centrality is considered to order nodes according to their positional power and functional influence in the network. In the process of propagation dynamics, th