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Titlebook: Database and Expert Systems Applications; 27th International C Sven Hartmann,Hui Ma Conference proceedings 2016 Springer International Publ

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書目名稱Database and Expert Systems Applications
副標題27th International C
編輯Sven Hartmann,Hui Ma
視頻videohttp://file.papertrans.cn/264/263500/263500.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 27th International C Sven Hartmann,Hui Ma Conference proceedings 2016 Springer International Publ
描述.This two volume set LNCS 9827 and LNCS 9828 constitutes the refereed proceedings of the 27th International Conference on Database and Expert Systems Applications, DEXA 2016, held in Porto, Portugal, September 2016. ..The 39 revised full papers presented together with 29 short papers were carefully reviewed and selected from 137 submissions. The papers discuss a range of topics including: ?Temporal, Spatial, and High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing; Decision Support Systems, and Learning; Data Streams; Data Integration, and Interoperability; Semantic Web, and Data Semantics; Social Networks, and Network Analysis; Linked Data; Data Analysis; NoSQL, NewSQL; Multimedia Data; Personal Information Management; Semantic Web and Ontologies; Database and Information System Architectures; Query Answering and Optimization; Information Retrieval, and Keyword Search; Data Modelling, and Uncertainty..
出版日期Conference proceedings 2016
關(guān)鍵詞data mining; linked open data; mobile ad hoc networks; natural language processing; semantic Web; context
版次1
doihttps://doi.org/10.1007/978-3-319-44406-2
isbn_softcover978-3-319-44405-5
isbn_ebook978-3-319-44406-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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A Mapping-Based Method to Query MongoDB Documents with SPARQLlar actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this paper we address the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query
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Aggregate Reverse Rank Queriesuct placement. Reverse k-ranks queries return users (preferences) who favor a given product more than other people. This helps manufacturers find potential buyers even for an unpopular product. Similar to the cable television industry, which often bundles channels, manufacturers are also willing to
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Detecting Maximum Inclusion Dependencies without Candidate Generation integrity checking, or query optimization. Existing techniques for detecting all INDs need to generate IND candidates and test their validity in the given data instance. However, the major disadvantage of this approach is the exponentially growing number of data accesses in terms of the number of .
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