Research and practical issues of ent...
CONFENIS (Conference) (2017 :)

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  • Research and practical issues of enterprise information systems = 11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017, Revised Selected Papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Research and practical issues of enterprise information systems/ edited by A Min Tjoa ... [et al.].
    其他題名: 11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017, Revised Selected Papers /
    其他題名: 11th IFIP WG 8.9 Working Conference
    其他作者: Tjoa, A Min.
    團體作者: CONFENIS (Conference)
    出版者: Cham :Springer International Publishing : : 2018.,
    面頁冊數: x, 203 p. :digital ;24 cm.
    內容註: EIS concepts, Theory and Methods -- Modeling of Service Time in Public Organization Based on Business Processes -- A Behavior Analysis Method towards Product Quality Management -- Method of Domain Specific Code Generation Based on Knowledge Graph for Quantitative Trading -- Image Database Management Architecture: Logical Structure and Indexing Methods -- IoT and Emerging Paradigm -- Internet of Things or Surveillance of Things -- The Economic Value of An Emergency Call System -- An IoT-Big Data Based Machine Learning Technique for Forecasting Water Requirement in Irrigation Field -- EIS for Industry 4.0 -- Penetration of Industry 4.0 Principles into ERP Products - A Central European Study -- Systematic Analysis of future competences affected by Industry 4.0 -- Process-Based Analysis of Digitally Transforming Skills -- Big Data Analytics -- Big Data Analytics - Geolocation from the Perspective of Mobile Network Operator -- Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine -- Big Data Analytics Using SQL: Quo Vadis -- Intelligent Electronics and Systems for Industrial IoT -- Rethinking "Things" - Fog Layer Interplay in IoT: A Mobile Code Approach -- A Security Framework for Fog Networks based on Role-Based Access Control and Trust Models -- IoT Platform for Real-time Multichannel ECG Monitoring and Classification with Neural Networks -- Deep Ensemble Effectively and Efficiently for Vehicle Instance Retrieval.
    Contained By: Springer eBooks
    標題: Business Information Systems. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-94845-4
    ISBN: 9783319948454
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