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Titlebook: Information and Software Technologies; 22nd International C Giedre Dregvaite,Robertas Damasevicius Conference proceedings 2016 Springer Int

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書(shū)目名稱Information and Software Technologies
副標(biāo)題22nd International C
編輯Giedre Dregvaite,Robertas Damasevicius
視頻videohttp://file.papertrans.cn/466/465952/465952.mp4
概述Includes supplementary material:
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Information and Software Technologies; 22nd International C Giedre Dregvaite,Robertas Damasevicius Conference proceedings 2016 Springer Int
描述This book constitutes the refereed proceedings of the 22nd International Conference on Information and Software Technologies, ICIST 2016, held in Druskininkai, Lithuania, in October 2016..The 61 papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; software engineering; information technology applications.
出版日期Conference proceedings 2016
關(guān)鍵詞applied computing; artificial intelligence; business intelligence; business processes; classifiers; compu
版次1
doihttps://doi.org/10.1007/978-3-319-46254-7
isbn_softcover978-3-319-46253-0
isbn_ebook978-3-319-46254-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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A Model of the Tacit Knowledge Transfer Support Tool: CKnow-Boardre formulated: (1) Tacit Knowledge Source Identification; (2) Tacit Knowledge Source Determination using the FAHP (Fuzzy Analytic Hierarchy Process); (3) Tacit Knowledge Acquisition, (4) Tacit Knowledge Transformation, (5) A Tacit Knowledge Transfer Board. The proposed tool enables the identificatio
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Semi-supervised Learning Approach for Ontology Mapping Problemcontent because there is no unified standard for their design. To ensure interoperability and fluent information exchange, the correspondences between entities of different ontologies must be found and mapped. A lot of methods have already been proposed for matching heterogeneous ontologies, but the
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Rule-Based Canonicalization of Arbitrary Tables in Spreadsheetsinder the process of extracting, transforming, and loading their data in a database. The paper is devoted to the issues of rule-based data transformation from arbitrary tables presented in spreadsheets to a structured canonical form that can be loaded into a database by regular ETL-tools. We propose
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