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Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl

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书目名称Data Engineering and Management
副标题Second International
编辑Rajkumar Kannan,Frederic Andres
视频video
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl
描述This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Data Engineering and Management, ICDEM 2010, held in Tiruchirappalli, India, in July 2010.The 46 revised full papers presented together with 1 keynote paper and 2 tutorial papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Digital Library; Knowledge and Mulsemedia; Data Management and Knowledge Extraction; Natural Language Processing; Workshop on Data Mining with Graphs and Matrices.
出版日期Conference proceedings 2012
关键词association rules; formal methods; model checking; opinion mining; wireless sensor networks
版次1
doihttps://doi.org/10.1007/978-3-642-27872-3
isbn_softcover978-3-642-27871-6
isbn_ebook978-3-642-27872-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2012
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Clinical Informatics Study Guide blogs, cooperative platforms, digital libraries, document versioning tools, etc.). We believe that supporting contextual semantics can add a set of properties that vary according to the use of ontological topic maps (TM). Their use is beneficial for users who intend to exchange semantic knowledge i
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Clinical Informatics Study Guidemation completely. It is essential to provide the information in a condensed form expressing the central idea of the document. Automatic text summarization is used for generating the summary for the document. This paper presents a novel Abstract Generation System (AGS) to generate an abstract from t
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Overview of Hardware and Softwarethe materialized view without accessing the original database. The paper proposes clustering based dynamic materialized view selection algorithm. The base of the paper is to propose similarity function, clustering materialized view and then dynamically adjusting the materialized view.
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