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Innovations for Community Services

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Cover of 'Innovations for Community Services'

Table of Contents

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    Book Overview
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    Chapter 1 Microservice Architecture Within In-House Infrastructures for Enterprise Integration and Measurement: An Experience Report
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    Chapter 2 Multi-agent Architecture of a MIBES for Smart Energy Management
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    Chapter 3 A C-ITS Central Station as a Communication Manager
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    Chapter 4 Dynamic Social Network Analysis Using Author-Topic Model
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    Chapter 5 Concept of Temporal Data Retrieval Undefined Value Management
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    Chapter 6 New Method for Selecting Exemplars Application to Roadway Experimentation
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    Chapter 7 Temporal Flower Index Eliminating Impact of High Water Mark
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    Chapter 8 Acoustic Signal Analysis for Use in Compressed Sensing Application
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    Chapter 9 Applying Recommender Approaches to the Real Estate e-Commerce Market
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    Chapter 10 A Next Generation Chatbot-Framework for the Public Administration
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    Chapter 11 Experimenting a Digital Collaborative Platform for Supporting Social Innovation in Multiple Settings
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    Chapter 12 Innovation Management Methods in the Aviation Industry
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    Chapter 13 Digital Transformation in Companies – Challenges and Success Factors
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    Chapter 14 Smart Mirror Devices
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    Chapter 15 Secured Domain of Sensor Nodes - A New Concept
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    Chapter 16 Trends in Application of Machine Learning to Network-Based Intrusion Detection Systems
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    Chapter 17 Acoustic Signal Classification Algorithm for WSN Node in Transport System
Attention for Chapter 13: Digital Transformation in Companies – Challenges and Success Factors
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Citations

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187 Mendeley
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Chapter title
Digital Transformation in Companies – Challenges and Success Factors
Chapter number 13
Book title
Innovations for Community Services
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-93408-2_13
Book ISBNs
978-3-31-993407-5, 978-3-31-993408-2
Authors

Marcus Wolf, Arlett Semm, Christian Erfurth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 187 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 22%
Student > Ph. D. Student 17 9%
Student > Doctoral Student 10 5%
Student > Postgraduate 8 4%
Student > Bachelor 7 4%
Other 20 11%
Unknown 84 45%
Readers by discipline Count As %
Business, Management and Accounting 30 16%
Computer Science 23 12%
Engineering 23 12%
Economics, Econometrics and Finance 5 3%
Social Sciences 4 2%
Other 12 6%
Unknown 90 48%