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

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书目名称Data Science
副标题Third International
编辑Beiji Zou,Qilong Han,Zeguang Lu
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Science; Third International  Beiji Zou,Qilong Han,Zeguang Lu Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Data
描述This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. .The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D.ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Bus
出版日期Conference proceedings 2017
关键词Data analysis; Recommender system; Deep learning; Social media; Social networks; Emotion analysis; Pattern
版次1
doihttps://doi.org/10.1007/978-981-10-6388-6
isbn_softcover978-981-10-6387-9
isbn_ebook978-981-10-6388-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2017
The information of publication is updating

书目名称Data Science影响因子(影响力)




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书目名称Data Science网络公开度学科排名




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书目名称Data Science被引频次学科排名




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书目名称Data Science年度引用学科排名




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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
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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
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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.
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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
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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.
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