Titlebook: Data Science; 6th International Co Jianchao Zeng,Weipeng Jing,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 202

Ganglion-Cyst

Caitlin McMullen,Marianne Abouyareding problem to obtain a mobile data offloading strategy. And then, the performance of the algorithm was enhanced by improving the algorithm. The experiment results show that vehicle mobility has a great effect on mobile data offloading, and the mobile data offloading method proposed in the paper is effective.

憤慨一下

壟斷

https://doi.org/10.1007/b136491, and the customer value was evaluated. Finally, optimization methods based on K-Means algorithm were proposed, and the data were visualized, so that personalized services can be developed for different customers.

統(tǒng)治人類

https://doi.org/10.1007/b136491evaluated from the function of network structure. And the SIR model was adopted to examine the spreading influence of the nodes ranked. The results of experiments in different datasets demonstrate that the algorithm designed can identify vital nodes in the social network accurately.

geriatrician

Donald Scavia,Gary L. Fahnenstiel function attribute configuration model, and the improved artificial bee colony algorithm was used to solve the model. The optimal solution of the product function attribute configuration model was got. Finally, an example was given to illustrate the feasibility of the proposed method in this paper.

責任

V2V Online Data Offloading Method Based on Vehicle Mobilitying problem to obtain a mobile data offloading strategy. And then, the performance of the algorithm was enhanced by improving the algorithm. The experiment results show that vehicle mobility has a great effect on mobile data offloading, and the mobile data offloading method proposed in the paper is effective.

詼諧

Identifying Propagation Source in Temporal Networks Based on Label Propagationnderlying information dissemination model. Different propagation models were applied for comparative experiments on static and dynamic networks. Experimental results verify the effectiveness of the algorithm on temporal networks.

我要沮喪

Analysis Method for Customer Value of Aviation Big Data Based on LRFMC Model, and the customer value was evaluated. Finally, optimization methods based on K-Means algorithm were proposed, and the data were visualized, so that personalized services can be developed for different customers.

證明無罪

整體