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Titlebook: Data Science; 30th British Interna Sebastian Maneth Conference proceedings 2015 Springer International Publishing Switzerland 2015 Web data

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發(fā)表于 2025-3-21 16:31:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data Science
副標(biāo)題30th British Interna
編輯Sebastian Maneth
視頻videohttp://file.papertrans.cn/264/263052/263052.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Data Science; 30th British Interna Sebastian Maneth Conference proceedings 2015 Springer International Publishing Switzerland 2015 Web data
描述.This book constitutes the refereed conference proceedings of the 30th British International Conference on Databases, BICOD 2015 - formerly known as BNCOD (British National Conference on Databases) - held in Edinburgh, UK, in July 2015..The 19 revised full papers, presented together with three invited.keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation..
出版日期Conference proceedings 2015
關(guān)鍵詞Web databases; Web information extraction; big data; classification; cooperative game; data integration; d
版次1
doihttps://doi.org/10.1007/978-3-319-20424-6
isbn_softcover978-3-319-20423-9
isbn_ebook978-3-319-20424-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

書(shū)目名稱(chēng)Data Science影響因子(影響力)




書(shū)目名稱(chēng)Data Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Data Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Data Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Data Science被引頻次




書(shū)目名稱(chēng)Data Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Data Science年度引用




書(shū)目名稱(chēng)Data Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Data Science讀者反饋




書(shū)目名稱(chēng)Data Science讀者反饋學(xué)科排名




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A Framework for Scalable Correlation of Spatio-temporal Event Data from a text corpus may be imprecise in both dimensions. In this paper we focus on the task of event correlation, i.e., finding events that are similar in terms of space and time. We present a framework for Apache Spark that provides correlation operators that can be configured to deal with such imp
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Towards More Data-Aware Application Integratione not table-centric. Due to costly format conversions, data-shipments and faster computation, the trend is to “push-down” the integration operations closer to the storage representation. We address the alternative case of defining declarative, table-centric integration semantics within standard inte
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A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theoryuch more connected to each other than to the rest of the network. The cooperative theory and non-cooperative game theory have been used separately for detecting communities. In this paper, we develop a new approach that utilizes both cooperative and non-cooperative game theory to detect communities.
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Query-Oriented Summarization of RDF Graphs given an input RDF graph ., find an RDF graph . which summarizes . as accurately as possible, while being possibly orders of magnitude smaller than the original graph. Our approach is ., i.e.,?querying a summary of a graph should reflect whether the query has some answers against this graph. The su
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