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Titlebook: Encyclopedia of Database Systems; LING LIU (Professor),M. TAMER ?ZSU (Professor and Reference work 20091st edition Springer-Verlag US 200

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書目名稱Encyclopedia of Database Systems
編輯LING LIU (Professor),M. TAMER ?ZSU (Professor and
視頻videohttp://file.papertrans.cn/310/309337/309337.mp4
概述Comprehensive reference to about 1,400 entries, covering key concepts and terms in the broad field of database systems..Entries include in-depth essays and shorter descriptions of terms, definition, k
圖書封面Titlebook: Encyclopedia of Database Systems;  LING LIU (Professor),M. TAMER ?ZSU (Professor and  Reference work 20091st edition Springer-Verlag US 200
出版日期Reference work 20091st edition
關(guān)鍵詞Data Integration; Data Management; Data Mining; Data Storage; Data warehouse; Database; Database Administr
版次1
doihttps://doi.org/10.1007/978-0-387-39940-9
isbn_ebook978-0-387-39940-9
copyrightSpringer-Verlag US 2009
The information of publication is updating

書目名稱Encyclopedia of Database Systems影響因子(影響力)




書目名稱Encyclopedia of Database Systems影響因子(影響力)學科排名




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書目名稱Encyclopedia of Database Systems被引頻次學科排名




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書目名稱Encyclopedia of Database Systems年度引用學科排名




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LING LIU (Professor),M. TAMER ?ZSU (Professor and Comprehensive reference to about 1,400 entries, covering key concepts and terms in the broad field of database systems..Entries include in-depth essays and shorter descriptions of terms, definition, k
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es. Slowly we have become aware that the Arctic is not only firmly connected to the rest of the globe but that it is especially vulnerable to some of the contaminants being transported. Arctic haze was first noticed in the 1950s. A decade later organochlorine pesticide residues were found in arctic
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Sampling,s or things considered relevant for a particular study — in technical jargon, taking a census of the “universe” or “population” of units — is often an onerous if not impossible task. Sampling enables us to project findings from a more manageable group to the population from which it was drawn. If th
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Handling Data Integrity Issue in SaaS Cloud,e level of security needed to be applied to the user’s data. Performance analysis of the given framework and algorithm is done using CloudSim. From our obtained results this could be easily found that the time taken for encryption of data using the discussed framework and proposed algorithms is much less in comparison to various other techniques.
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