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Titlebook: Database and Expert Systems Applications; 23rd International C Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang Zho Conference proceedings 20

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發(fā)表于 2025-3-21 19:06:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Database and Expert Systems Applications
副標(biāo)題23rd International C
編輯Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang Zho
視頻videohttp://file.papertrans.cn/264/263504/263504.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 23rd International C Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang Zho Conference proceedings 20
描述This two volume set LNCS 7446 and LNCS 7447 constitutes the refereed proceedings of the 23rd International Conference on Database and Expert Systems Applications, DEXA 2012, held in Vienna, Austria, September 3-6, 2012. .The 49 revised full papers presented together with 37 short papers and 2 keynote talks were carefully reviewed and selected from 179 submissions. These papers discuss a range of topics including: database query processing, in particular XML queries; labelling of XML documents; computational efficiency, data extraction; personalization, preferences, and ranking; security and privacy; database schema evaluation and evolution; semantic Web; privacy and provenance; data mining; data streaming; distributed systems; searching and query answering; structuring, compression and optimization; failure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking.
出版日期Conference proceedings 2012
關(guān)鍵詞Web mining; machine learning; performance evaluation; recommender systems; social Web
版次1
doihttps://doi.org/10.1007/978-3-642-32600-4
isbn_softcover978-3-642-32599-1
isbn_ebook978-3-642-32600-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
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A Write Efficient PCM-Aware Sorts low write endurance and expensive writes need to be addressed. In this paper, we propose PCM-aware sorting algorithms that can mitigate writes on PCM by efficient use of the small DRAM buffer. Our performance evaluation shows that the proposed schemes can significantly outperform existing schemes that are oblivious of the PCM.
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On Checking Executable Conceptual Schema Validity by Testingnecessary conditions for schema validity (correctness and relevance). The proposed criteria are independent from the languages of the schema and of the testing program. The criteria have been implemented in a prototype of a test processor able to execute test sets. The criteria have been applied to the test sets of large conceptual schemas.
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Kenichi Hori,Makoto Takizawa,Michel Raynalain possible and the validation of the compositions is left to the testing and deployment phases. From the business point of view, customers do not trust these services nor rely on them. As a consequence, building correct, safe and trustable web services compositions becomes a major challenge.
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https://doi.org/10.1007/978-0-387-35357-9ments respectively. General XML queries involving several twig patterns are processed by the both data structures. We further analyze join order selection for a general query with both pattern matching and value-based join, which is essential for the generation of a good query plan.
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H. E. Cook,C. J. Gauthier Professorallest size and therefore reuse all the deleted labels to control the label size increasing speed; meanwhile the algorithms can completely avoid the re-labeling also. Extensive experimental results show that the algorithms proposed in this paper can control the label size increasing speed and enhance the query performance.
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H. E. Cook,C. J. Gauthier Professort both approaches, especially the native one, effectively improve the use of flash memory in the mid-tier cache. NFA reduces the number of garbage collections and block erasures by up to a factor of five and improves the mid-tier throughput by up to 66%.
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