Titlebook: Big Data; 6th CCF Conference, Zongben Xu,Xinbo Gao,Jiajun Bu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018 artificia

灰尘

书目名称Big Data影响因子(影响力)




书目名称Big Data影响因子(影响力)学科排名




书目名称Big Data网络公开度




书目名称Big Data网络公开度学科排名




书目名称Big Data被引频次




书目名称Big Data被引频次学科排名




书目名称Big Data年度引用




书目名称Big Data年度引用学科排名




书目名称Big Data读者反馈




书目名称Big Data读者反馈学科排名

词汇表

宽宏大量

inchoate

世俗

https://doi.org/10.1007/978-981-15-2878-1hat extent do device models influence the behaviors of their users? The answer to this question is critical to almost every stakeholder in the smartphone app ecosystem, including app store operators, developers, end-users, and network providers. To approach this question, we collect a longitudinal d

PACT

https://doi.org/10.1007/978-981-15-2878-1e-base, an artificial bee colony algorithm combined with Gaussian disturbance optimization was introduced, and a novel Belief rule-base parameter training method was proposed. By the light of the algorithm principle of the artificial bee colony, the honey bee colony search formula and the cross-bord

浅滩

https://doi.org/10.1057/978-1-137-56036-0h. However, the most existing community search methods do not consider the influence of nodes and can not perfectly support the search in large graphs, making them have limitations in practical applications. In this paper, we introduce a community model called . community based on .-core decompositi

sterilization

https://doi.org/10.1057/978-1-137-56036-0entific impact prediction, which is mainly based on longtime accumulated citation networks, metadata and the whole text of papers, is relatively hysteretic and can hardly fit the rapid development of technology. Moreover, Twitter has become one of the most import channels to spread latest technique

HAWK

沉思的鱼

https://doi.org/10.1057/978-1-137-56036-0eries on time-dependent network to find the optimal path, for example: shortest route, highest scoring route, etc. However, in practical application, users will want to be satisfied with the constraint and evaluate the good routes to make a choice, for example, users want to look for the well-evalua