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Titlebook: Data Science; Second International Chengqi Zhang,Wei Huang,Jing He Conference proceedings 2015 Springer International Publishing Switzerlan

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書目名稱Data Science
副標(biāo)題Second International
編輯Chengqi Zhang,Wei Huang,Jing He
視頻videohttp://file.papertrans.cn/264/263056/263056.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Science; Second International Chengqi Zhang,Wei Huang,Jing He Conference proceedings 2015 Springer International Publishing Switzerlan
描述.This book constitutes the refereed proceedings of theSecond International Conference on Data Science, ICDS 2015, held in Sydney,Australia, during August 8-9, 2015...The 19 revised full papers and 5 short papers presentedwere carefully reviewed and selected from 31 submissions. The papers focus onthe following topics: mathematical issues in data science; big data issues andapplications; data quality and data preparation; data-driven scientificresearch; evaluation and measurement in data service; big data mining andknowledge management; case study of data science; social impacts of datascience..
出版日期Conference proceedings 2015
關(guān)鍵詞Active learning; Big data; Frequent patterns; Large-scale social networks; Social networks; Data science;
版次1
doihttps://doi.org/10.1007/978-3-319-24474-7
isbn_softcover978-3-319-24473-0
isbn_ebook978-3-319-24474-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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




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https://doi.org/10.1007/978-981-19-2428-6 earning more attention than before. News comments have significant impacts on people’s decision and behavior as news itself. People find that they are always overwhelmed by massive comments and valuable comments are drowned in large amounts of uninteresting comments. This paper presents a multi-dim
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https://doi.org/10.1007/978-1-4020-9143-8 dynamic data and its timeliness directly affects the accuracy of inventory data and purchase plans. According to the characteristics of Markov decision process, we design a dynamic programming algorithm to obtain the optimal purchase data updating policy. Its effectiveness is tested by comparing wi
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https://doi.org/10.1007/978-1-4020-9143-8artition is proposed. Firstly, based on signed attributes, the initial center vertex is selected as random walk starting vertex. Secondly, according to the theory of metastable, confirm random walk step length .. Finally, achieve community partition of signed network on the basis of the maximum netw
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