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Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

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發(fā)表于 2025-3-21 19:28:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Web and Big Data
副標(biāo)題First International
編輯Lei Chen,Christian S. Jensen,Xiang Lian
視頻videohttp://file.papertrans.cn/1022/1021673/1021673.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web and Big Data; First International  Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin
描述.This two –volume set, LNCS 10366 and 10367, constitutes? the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017...The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization..
出版日期Conference proceedings 2017
關(guān)鍵詞spatial data processing and data quality; graph data processing; data mining, privacy and semantic ana
版次1
doihttps://doi.org/10.1007/978-3-319-63579-8
isbn_softcover978-3-319-63578-1
isbn_ebook978-3-319-63579-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Web and Big Data影響因子(影響力)




書目名稱Web and Big Data影響因子(影響力)學(xué)科排名




書目名稱Web and Big Data網(wǎng)絡(luò)公開度




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




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Semantic-Aware Partitioning on RDF Graphsovel partitioning algorithm is proposed, which leverages the semantic information of RDF and reduces crossing edges between different fragments. The extensive experiments on both synthetic and real-world datasets show that our semantic-aware RDF graph partitioning outperforms the state-of-the-art methods by a large margin.
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0302-9743 ining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization..978-3-319-63578-1978-3-319-63579-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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TrajSpark: A Scalable and Efficient In-Memory Management System for Big Trajectory Datahen new batch of data arrives. Extensive experiments of three types of trajectory queries on both real and synthetic dataset demonstrate that the performance of TrajSpark outperforms state-of-the-art systems.
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A Local-Global LDA Model for Discovering Geographical Topics from Social Mediach is currently the most popular micro-blogging service for Chinese. The evaluation results demonstrate that our method outperforms other baseline methods in several metrics such as model perplexity, two kinds of entropies and KL-divergence of discovered topics.
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