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Titlebook: Database and Expert Systems Applications; 25th International C Hendrik Decker,Lenka Lhotská,Roland R. Wagner Conference proceedings 2014 Sp

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發(fā)表于 2025-3-21 18:05:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Database and Expert Systems Applications
副標(biāo)題25th International C
編輯Hendrik Decker,Lenka Lhotská,Roland R. Wagner
視頻videohttp://file.papertrans.cn/264/263486/263486.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Database and Expert Systems Applications; 25th International C Hendrik Decker,Lenka Lhotská,Roland R. Wagner Conference proceedings 2014 Sp
描述This two volume set LNCS 8644 and LNCS 8645 constitutes the refereed proceedings of the 25th International Conference on Database and Expert Systems Applications, DEXA 2014, held in Munich, Germany, September 1-4, 2014. The 37 revised full papers presented together with 46 short papers, and 2 keynote talks, were carefully reviewed and selected from 159 submissions. The papers discuss a range of topics including: data quality; social web; XML keyword search; skyline queries; graph algorithms; information retrieval; XML; security; semantic web; classification and clustering; queries; social computing; similarity search; ranking; data mining; big data; approximations; privacy; data exchange; data integration; web semantics; repositories; partitioning; and business applications.
出版日期Conference proceedings 2014
關(guān)鍵詞XML; applied computing; collaborative computing; data integration; data management systems; data mining; d
版次1
doihttps://doi.org/10.1007/978-3-319-10073-9
isbn_softcover978-3-319-10072-2
isbn_ebook978-3-319-10073-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Das Einsatzspektrum des Controllers generalize the efficient techniques of the LCA-based approaches for searching over XML IDREF graph. The experimental results show that our approach outperforms the existing approaches in term of both effectiveness and efficiency.
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https://doi.org/10.1007/978-3-663-13666-8n propose effective approaches that allow the clients to execute the skyline query at any location. Last, the proposed broadcasting protocols are evaluated by performing the experiments in terms of the latency, tuning time, and memory usage.
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A Study on External Memory Scan-Based Skyline Algorithmspecific design choices can have a significant impact on performance. We also demonstrate that, contrary to common belief, simpler skyline algorithm can be much faster than methods based on pre-processing.
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Discovering , Conditional Functional Dependencies with Built-in Predicatesed to impose constraints on data; they can also represent relationships among data, and therefore they can be mined from datasets. In the present work, after having introduced the distinction between . and . CFD.s, we describe an algorithm to discover . CFD.s from datasets.
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