Titlebook: Data Science; Third International Beiji Zou,Qilong Han,Zeguang Lu Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Data

Largess

空洞

Mining Initial Nodes with BSIS Model and BS-G Algorithm on Social Networks for Influence Maximizatiuence maximization named as BS-G (BSIS with Greedy Algorithm) to select the initial node. In the experiments, we use two real social network data sets on the Hadoop and Spark distributed cluster platform for experiments, and the experiment results show that BSIS model and BS-G algorithm on big data

小溪

A Multi-objective Optimization Data Scheduling Algorithm for P2P Video Streaming,pose a distributed data scheduling algorithm to solve the multi-objective problem in polynomial time. Through simulations, we show the proposed algorithm outperforms other conventional algorithms in perceived video quality and utilization of peers’ upload capacity.

Benign

A Novel Range-Free Jammer Localization Solution in Wireless Network by Using PSO Algorithm,ulations in two models, which are wireless sensor network (WSN) and vehicular ad hoc network (VANET) respectively. The experimental results suggest that our proposed algorithm achieves higher accuracy than the other solutions, and the localization error goes down with larger number of recorded jamme

MUMP

名字

Ophthalmologist

Extracting Chinese Explanatory Expressions with Discrete and Neural CRFs,two datasets from two different domains which have been annotated with ground-truth explanatory expression. Results show that the neural CRF model performs better than the discrete CRF. After a combination of the discrete and neural features, our final CRF mode achieves the top-performing results.

匍匐

OUTRE

An Energy Efficient Routing Protocol for In-Vehicle Wireless Sensor Networks,lity based on residual energy and location distribution of nodes. Then node associate with the cluster head with least communication cost and high residual energy. Simulation results show that ADEEC achieves longer stability period, network lifetime, and throughput than the other classical clustering algorithms.

評(píng)論者

Energy-Conserving Transmission Network Model Based on Service-Awareness,er to achieve the purpose of energy consumption optimization, we divide the hosts into same VLAN according to their interaction frequency to reduce the cross VLAN transmission consumption. Simulation results show that we get a great energy improvement in the fat tree net topology.