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

Corrugate

書目名稱Data Science影響因子(影響力)




書目名稱Data Science影響因子(影響力)學(xué)科排名




書目名稱Data Science網(wǎng)絡(luò)公開度




書目名稱Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Science被引頻次




書目名稱Data Science被引頻次學(xué)科排名




書目名稱Data Science年度引用




書目名稱Data Science年度引用學(xué)科排名




書目名稱Data Science讀者反饋




書目名稱Data Science讀者反饋學(xué)科排名

Intentional

一個(gè)攪動(dòng)不安

保留

https://doi.org/10.1057/9780230234239motion. Subjective tests show that the average emotional mean opinion score is 4.14 for Tibetan and 4.26 for Mandarin. The average mean opinion score is 4.16 for Tibetan and 4.28 for Mandarin. The average degradation opinion score is 4.28 for Tibetan and 4.24 for Mandarin. Therefore, the proposed me

Irrepressible

Chile: A Pioneer in Trade Policyuence 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

AWE

Michael D. Bradley,Jeff Colvin,Mary Perkinspose 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.

AWE

https://doi.org/10.1007/978-1-4615-4044-1ulations 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

cochlea

Antecedent

Systemic

A Cluster Guided Topic Model for Social Query Expansion, of semantic information of context words and word clusters to construct user models for personalized query expansion. Experimental results on a large public social dataset show that the proposed method is more effective than other state-of-the-art baselines.