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Titlebook: Database Systems for Advanced Applications; 14th International C Xiaofang Zhou,Haruo Yokota,Qing Liu Conference proceedings 2009 Springer-V

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書目名稱Database Systems for Advanced Applications
副標題14th International C
編輯Xiaofang Zhou,Haruo Yokota,Qing Liu
視頻videohttp://file.papertrans.cn/264/263396/263396.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database Systems for Advanced Applications; 14th International C Xiaofang Zhou,Haruo Yokota,Qing Liu Conference proceedings 2009 Springer-V
描述This book constitutes the refereed proceedings of the 14th International Conference on Database Systems for Advanced Applications, DASFAA 2009, held in Brisbane, Australia, in April 2009. The 39 revised full papers and 22 revised short papers presented together with 3 invited keynote papers, 9 demonstration papers, 3 tutorial abstracts, and one panel abstract were carefully reviewed and selected from 186 submissions. The papers are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, skyline and rising stars, parallel and distributed processing, mining and analysis, XML query, privacy, XML keyword search and ranking, Web and Web services, XML data processing, and multimedia.
出版日期Conference proceedings 2009
關(guān)鍵詞Extensible Markup Language (XML); QoS; bibliography networks; data mining; distributed database; fuzzy se
版次1
doihttps://doi.org/10.1007/978-3-642-00887-0
isbn_softcover978-3-642-00886-3
isbn_ebook978-3-642-00887-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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https://doi.org/10.1007/978-3-319-65043-2 queries). In this framework, our query re-evaluation algorithms take advantage of . and issue location probes only to the affected data objects. Simulation results confirm that the . concept improves scalability and efficiency over existing methods by reducing the number of updates.
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Palgrave Studies in the History of Financemance of our proposed algorithms using standard datasets and evaluate the impact of removing constraints by comparing the performance of our algorithms with constrained algorithms: K-means and Star and unconstrained algorithm: Markov clustering.
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Governing Globality for Human Welfareining and analyzing the correlations of the monitored objects. Optimized data structures and imputation strategies are developed. Extensive simulated experiments have demonstrated the effectiveness of the proposed algorithms.
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Adaptive Safe Regions for Continuous Spatial Queries over Moving Objects queries). In this framework, our query re-evaluation algorithms take advantage of . and issue location probes only to the affected data objects. Simulation results confirm that the . concept improves scalability and efficiency over existing methods by reducing the number of updates.
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