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Titlebook: Data Management. Data, Data Everywhere; 24th British Nationa Richard Cooper,Jessie Kennedy Conference proceedings 2007 Springer-Verlag Berl

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书目名称Data Management. Data, Data Everywhere
副标题24th British Nationa
编辑Richard Cooper,Jessie Kennedy
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Management. Data, Data Everywhere; 24th British Nationa Richard Cooper,Jessie Kennedy Conference proceedings 2007 Springer-Verlag Berl
描述BNCOD has, for the past 27 years, provided a forum for researchers world-wide to gather to discuss the topical issues in databaseresearch.As the researchch- lenges have evolved, so BNCOD has changed its topics of interest accordingly, now covering data management more widely. In doing so, it has evolved from a local conference mostly attended by British researchers to a truly international conference that happens to be held in Britain. This year, for instance, sign- cantly less than half of the presentations are from UK or Irish authors, other contributions coming from continental Europe, Asia and the USA. Currently, one of the most pressing challenges is to ?nd ways of evolving database technology to cope with its new role in underpinning the massively distributed and heterogeneous applications built on top of the Internet. This has a?ected both the ways in which data has been accessed and the ways in which it is represented, with XML data management becoming an important issue and, as such, heavily represented at this conference. It has also brought back issues of performance that might have been considered largely solved by the improvements in hardware, since data now has to be
出版日期Conference proceedings 2007
关键词Extensible Markup Language (XML); LA; OLAP; SQL; Web data management; algorithms; data management; data min
版次1
doihttps://doi.org/10.1007/978-3-540-73390-4
isbn_softcover978-3-540-73389-8
isbn_ebook978-3-540-73390-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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OOXSearch: A Search Engine for Answering Loosely Structured XML Queries Using OO Programmingarch engine called OOXSearch, which answers loosely structured queries. The recall and precision of the engine were evaluated experimentally and compared with two recent proposed systems [1, 2] and the results showed marked improvement.
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Volker Krüger,Shaohua Zhou,Rama Chellappang a multidimensional index. We improve the recognition speed of the proposed algorithm using the association rule technique, which is a widely adopted data mining technique. The proposed algorithm has the advantage that it can be applied regardless of the language, size, and font of the characters
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Greedy Kernel Principal Component Analysisof SBML documents, pathway reconstruction/visualization. SPDBSW has been implemented by the combination SPDBS and external web services such as OLS, KEGG and NCBI. And user can get more confidential and delicate information from KEGG or NCBI through their web services. The system can be extended or
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Frank H. P. Fitzek,Marcos D. Katzarch engine called OOXSearch, which answers loosely structured queries. The recall and precision of the engine were evaluated experimentally and compared with two recent proposed systems [1, 2] and the results showed marked improvement.
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https://doi.org/10.1007/978-3-319-58685-4op-down path matching and bottom-up path selections to efficiently evaluate linear path expressions. For twig queries, we perform structural joins at branch points. Through experimental evaluation on standard datasets, we show that our approach outperforms the existing path-index based approaches wh
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