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Titlebook: Data and Knowledge Engineering; Third International Yang Xiang,Mukaddim Pathan,Hua Wang Conference proceedings 2012 Springer-Verlag Berlin

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書目名稱Data and Knowledge Engineering
副標題Third International
編輯Yang Xiang,Mukaddim Pathan,Hua Wang
視頻videohttp://file.papertrans.cn/264/263250/263250.mp4
概述Up-to-date results.Fast track conference proceedings.State-of-the-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data and Knowledge Engineering; Third International  Yang Xiang,Mukaddim Pathan,Hua Wang Conference proceedings 2012 Springer-Verlag Berlin
描述This book constitutes the refereed proceedings of the International Conference on Data and Knowledge Engineering, ICDKE 2012, held in Wuyishan, Fujian, China, in November 2012. The conference was co-located with the 6th International Conference on Network and System Security, NSS 2012. The 13 revised full papers of ICDKE 2012 were carefully reviewed and selected from 53 submissions. The papers cover the following topics: artificial intelligence and data engineering; knowledge discovery and data management; information extraction and retrieval and data security.
出版日期Conference proceedings 2012
關(guān)鍵詞Web mining; internet voting; machine learning; network security; self-stabilizing algorithm; algorithm an
版次1
doihttps://doi.org/10.1007/978-3-642-34679-8
isbn_softcover978-3-642-34678-1
isbn_ebook978-3-642-34679-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Data and Knowledge Engineering978-3-642-34679-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Anna Khoreva,Anna Rohrbach,Bernt Schielement of location-based services (LBS) provided by those portable devices, how to provide efficient spatial data management over flash-equipped LBS devices has become a critical issue in recent years. In this paper, we aim to propose an efficient flash-optimized spatial tree index, called OR-tree, to
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Michal Bu?ta,Yash Patel,Jiri Matasuous skyline query involves both static and dynamic dimensions. In the dynamic dimension, the data object not only has a distance from the query object, but it also has a direction with respect to the query object motion. In this paper, we propose a direction-oriented continuous skyline query algori
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