<span>The idea for this conference came from a meeting of the IFIP (International Federation for Information Processing) Technical Committee for Information Systems (TC8) in Guimares, Portugal in June 2005. Our goal is to build an IFIP forum among the different Information Systems Communities of TC8
Research and Practical Issues of Enterprise Information Systems
β Scribed by A Min Tjoa, Li-Rong Zheng, Zhuo Zou, Maria Raffai, Li Da Xu, Niina Maarit Novak
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 205
- Series
- Lecture Notes in Business Information Processing 310
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book constitutes the refereed proceedings of the 11th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2017, held in Shanghai, China, in October 2017.
The 17 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in topical sections named: EIS concepts, theory and methods; IoT and emerging paradigm; EIS for industry 4.0; big data analytics; and intelligent electronics and systems for industrial IoT.
β¦ Table of Contents
Front Matter ....Pages I-X
Front Matter ....Pages 1-1
Modeling of Service Time in Public Organization Based on Business Processes (Larisa Bulysheva, Michael Kataev, Natalia Loseva)....Pages 3-11
A Behavior Analysis Method Towards Product Quality Management (Congcong Ye, Chun Li, Guoqiang Li, Lihong Jiang, Hongming Cai)....Pages 12-20
Method of Domain Specific Code Generation Based on Knowledge Graph for Quantitative Trading (Jianshui Bi, Hongming Cai, Bo Zhou, Lihong Jiang)....Pages 21-33
Image Database Management Architecture: Logical Structure and Indexing Methods (Larisa Bulysheva, Alexander Bulyshev, Michael Kataev)....Pages 34-42
Front Matter ....Pages 43-43
Internet of Things or Surveillance of Things? (Petr Doucek, Antonin Pavlicek, Ladislav Luc)....Pages 45-55
The Economic Value of an Emergency Call System (Tomas Lego, Andreas Mladenow, Niina Maarit Novak, Christine Strauss)....Pages 56-66
An IoT-Big Data Based Machine Learning Technique for Forecasting Water Requirement in Irrigation Field (Fizar Ahmed)....Pages 67-77
Front Matter ....Pages 79-79
Penetration of Industry 4.0 Principles into ERP Vendorsβ Products and Services β A Central European Study (Josef Basl)....Pages 81-90
Systematic Analysis of Future Competences Affected by Industry 4.0 (AndrΓ‘s GΓ‘bor, IldikΓ³ SzabΓ³, Fizar Ahmed)....Pages 91-103
Process-Based Analysis of Digitally Transforming Skills (IldikΓ³ SzabΓ³, Katalin Ternai)....Pages 104-115
Front Matter ....Pages 117-117
Big Data Analytics β Geolocation from the Perspective of Mobile Network Operator (Antonin Pavlicek, Petr Doucek, Richard NovΓ‘k, Vlasta Strizova)....Pages 119-131
Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine (Yi Liu, Xin Li, Jianxin Wang, Feng Chen, Junyu Wang, Yiwei Shi et al.)....Pages 132-142
Big Data Analytics Using SQL: Quo Vadis? (K. T. Sridhar)....Pages 143-156
Front Matter ....Pages 157-157
Rethinking βThingsβ - Fog Layer Interplay in IoT: A Mobile Code Approach (Behailu Negash, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen)....Pages 159-167
A Security Framework for Fog Networks Based on Role-Based Access Control and Trust Models (Farhoud Hosseinpour, Ali Shuja Siddiqui, Juha Plosila, Hannu Tenhunen)....Pages 168-180
IoT Platform for Real-Time Multichannel ECG Monitoring and Classification with Neural Networks (Jose Granados, Tomi Westerlund, Lirong Zheng, Zhuo Zou)....Pages 181-191
Deep Ensemble Effectively and Efficiently for Vehicle Instance Retrieval (Zhengyan Ding, Xiaoteng Zhang, Shaoxi Xu, Lei Song, Na Duan)....Pages 192-201
Back Matter ....Pages 203-203
β¦ Subjects
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
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