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Titlebook: Web and Big Data. APWeb-WAIM 2021 International Workshops; KGMA 2021, SemiBDMA Yunjun Gao,An Liu,Junying Chen Conference proceedings 2021

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書目名稱Web and Big Data. APWeb-WAIM 2021 International Workshops
副標(biāo)題KGMA 2021, SemiBDMA
編輯Yunjun Gao,An Liu,Junying Chen
視頻videohttp://file.papertrans.cn/1022/1021679/1021679.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Web and Big Data. APWeb-WAIM 2021 International Workshops; KGMA 2021, SemiBDMA  Yunjun Gao,An Liu,Junying Chen Conference proceedings 2021
描述?This book constitutes revised selected papers from the workshops of the 5th?Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data,?APWeb-WAIM 2021:?The Fourth International Workshop on Knowledge Graph Management and Applications, KGMA 2021, The?Third International Workshop on Semi-structured Big Data Management and Application,?SemiBDMA 2021, and The?Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2021, held in?Guangzhou, China, in August 2021.?Due to the COVID-19 pandemic the conference was held online.?.The 11 papers were thoroughly reviewed and selected from the 28 submissions and present recent research on?the theory, design, and implementation of data management systems..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; bandwidth; computer networks; computer security; computer systems; computer visi
版次1
doihttps://doi.org/10.1007/978-981-16-8143-1
isbn_softcover978-981-16-8142-4
isbn_ebook978-981-16-8143-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Should I Stay or?Should I Go: Predicting Changes in?Cluster Membershipnovel problem of predicting whether a specific node stays in the same cluster, moves to another cluster or drops out of the network. We explore variations of the problem and propose appropriate classification features based on local and global node measures. Motivated by the prevalence of machine le
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A Distributed Engine for?Multi-query Processing Based on?Predicates with?Sparket cover problem, which is NP-complete. In this paper, we propose an distributed RDF engine for multi-query processing with Spark. The system processes SPARQL queries with translating them into Spark SQL. We utilize the predicate information as the feature of the query and cluster the multiple queri
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Survival Effect of?Internet Macroscopic Topology Evolutionhod and a larger research space for the future Internet. The IPv4 and IPv6 whole network data from 2011 to 2015 authorized by CAIDA is adopted in this paper. The self-organizing metabolism of the Internet is measured by the standard network structure entropy, and the self-replicating behaviors of th
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