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Research and Practical Issues of Enterprise Information Systems

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Cover of 'Research and Practical Issues of Enterprise Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling of Service Time in Public Organization Based on Business Processes
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    Chapter 2 A Behavior Analysis Method Towards Product Quality Management
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    Chapter 3 Method of Domain Specific Code Generation Based on Knowledge Graph for Quantitative Trading
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    Chapter 4 Image Database Management Architecture: Logical Structure and Indexing Methods
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    Chapter 5 Internet of Things or Surveillance of Things?
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    Chapter 6 The Economic Value of an Emergency Call System
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    Chapter 7 An IoT-Big Data Based Machine Learning Technique for Forecasting Water Requirement in Irrigation Field
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    Chapter 8 Penetration of Industry 4.0 Principles into ERP Vendors’ Products and Services – A Central European Study
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    Chapter 9 Systematic Analysis of Future Competences Affected by Industry 4.0
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    Chapter 10 Process-Based Analysis of Digitally Transforming Skills
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    Chapter 11 Big Data Analytics – Geolocation from the Perspective of Mobile Network Operator
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    Chapter 12 Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine
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    Chapter 13 Big Data Analytics Using SQL: Quo Vadis?
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    Chapter 14 Rethinking ‘Things’ - Fog Layer Interplay in IoT: A Mobile Code Approach
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    Chapter 15 A Security Framework for Fog Networks Based on Role-Based Access Control and Trust Models
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    Chapter 16 IoT Platform for Real-Time Multichannel ECG Monitoring and Classification with Neural Networks
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    Chapter 17 Deep Ensemble Effectively and Efficiently for Vehicle Instance Retrieval
Attention for Chapter 12: Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine
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Chapter title
Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine
Chapter number 12
Book title
Research and Practical Issues of Enterprise Information Systems
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-94845-4_12
Book ISBNs
978-3-31-994844-7, 978-3-31-994845-4
Authors

Yi Liu, Xin Li, Jianxin Wang, Feng Chen, Junyu Wang, Yiwei Shi, Lirong Zheng, Liu, Yi, Li, Xin, Wang, Jianxin, Chen, Feng, Wang, Junyu, Shi, Yiwei, Zheng, Lirong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%