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Titlebook: Database and Expert Systems Applications; 24th International C Hendrik Decker,Lenka Lhotská,A Min Tjoa Conference proceedings 2013 Springer

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發(fā)表于 2025-3-21 16:45:06 | 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24th International C
編輯Hendrik Decker,Lenka Lhotská,A Min Tjoa
視頻videohttp://file.papertrans.cn/264/263467/263467.mp4
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 24th International C Hendrik Decker,Lenka Lhotská,A Min Tjoa Conference proceedings 2013 Springer
描述This two volume set LNCS 8055 and LNCS 8056 constitutes the refereed proceedings of the 24th International Conference on Database and Expert Systems Applications, DEXA 2013, held in Prague, Czech Republic, August 23-29, 2013. The 43 revised full papers presented together with 33 short papers, and 3 keynote talks, were carefully reviewed and selected from 174 submissions. These papers discuss a range of topics including: search queries; indexing; discovery of semantics; parallel processing; XML and RDF; enterprise models; query evaluation and optimization; semantic Web; sampling; industrial applications; communities; AI and databases; matching and searching; information extraction; queries, streams, and uncertainty, storage and compression; query processing; security; distributed data processing; metadata modeling and maintenance; pricing and recommending; and security and semantics.
出版日期Conference proceedings 2013
關(guān)鍵詞artificial intelligence; business process models; data mining; graphs; information retrieval
版次1
doihttps://doi.org/10.1007/978-3-642-40173-2
isbn_softcover978-3-642-40172-5
isbn_ebook978-3-642-40173-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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On Preference Order of DRSA Conditional Attributes for Computational Stylisticsextual descriptors are specific to authors in such high degree that it enables their recognition. In processing there can be employed techniques from artificial intelligence domain such as Dominance-Based Rough Set Approach (DRSA). Its starting point comprises establishing a preference order in valu
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Entity Matching Technique for Bibliographic Databaseute of an author relation in a bibliographic database which maintains publication details of various authors, may change its value. When a database contains records of this nature and number of records grows to a large extent then it becomes really very challenging to identify which records belong t
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