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Artificial Intelligence for Knowledge Management

Overview of attention for book
Cover of 'Artificial Intelligence for Knowledge Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Globalization - Understanding the Correlations Between Attitudes Towards Globalization, Time, Resources and Financial Resources
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    Chapter 2 Integrated System for Students’ Evaluation Using KM Approach
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    Chapter 3 ICT Platform Design for SME Collaboration
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    Chapter 4 Platform for Knowledge Society and Innovation Ecosystems
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    Chapter 5 Measuring Successful Digital Services by Identifying Active Users
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    Chapter 6 Effective Management of Information Processes with CMS in Smart City. The Concept of Crowdsourcing
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    Chapter 7 A Naming System for “The Internet of Things” Adapted to Industry - A Case Study in Electrical Engineering
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    Chapter 8 Augmented Learning and Data Filtering: Knowledge Management and Discovery
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    Chapter 9 AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances
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    Chapter 10 A Note on Knowledge Management Education: Towards Implementing Active Learning Methods
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    Chapter 11 Intellect Modeling Kit
Attention for Chapter 5: Measuring Successful Digital Services by Identifying Active Users
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Readers on

mendeley
7 Mendeley
Summary
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Chapter title
Measuring Successful Digital Services by Identifying Active Users
Chapter number 5
Book title
Artificial Intelligence for Knowledge Management
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-52903-1_5
Book ISBNs
978-3-03-052902-4, 978-3-03-052903-1
Authors

Sarwar Jahan Morshed, Juwel Rana, Marcelo Milrad

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Researcher 1 14%
Student > Ph. D. Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Business, Management and Accounting 2 29%
Engineering 2 29%
Computer Science 1 14%
Unknown 2 29%

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