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 /: 11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017 : revised selected papers. ([2018])

• Record Type: Book
• Other Titles: 11th IFIP WG 8.9 Working Conference; CONFENIS 2017
• Further Information: Note: A Min Tjoa, Li-Rong Zheng, Zhuo Zou, Maria Raffai, Li Da Xu, Niina Maarit Novak (eds.).
• Editors: Tjoa, A Min; Zheng, Li-Rong; Zhuo, Zou; Raffai, Maria; Novak, Niina Maarit
• Other Names: CONFENIS (Conference), 11th
• Contents: 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 658.4/038011; Business; Management information systems -- Congresses; Enterprise application integration (Computer systems) -- Congresses; Business -- Data processing -- Congresses; Business -- Data processing; Enterprise application integration (Computer systems); Management information systems; Business and Management; Enterprise Architecture; Information Systems Applications (incl. Internet); Business Information Systems; Computer Appl. in Administrative Data Processing; e-Commerce/e-business; Big Data/Analytics; Computers -- Information Technology; Computers -- Enterprise Applications -- Business Intelligence Tools; Computers -- Data Processing; Computers -- Electronic Commerce; Business & Economics -- Industries -- Computer Industry; Information retrieval; Business mathematics & systems; Public administration; Business applications; Management science; Management information systems; Information systems; Big data; Business & Economics -- Information Management; Conference papers and proceedings; Electronic books
• Languages: English
• ISBNs: 9783319948454; 3319948458; 9783319948461; 3319948466
• Related ISBNs: 331994844X; 9783319948447
• Notes: Note: Description based on online resource; title from digital title page (viewed on July 24, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.