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Advances in ICT for Business, Industry and Public Sector

Overview of attention for book
Cover of 'Advances in ICT for Business, Industry and Public Sector'

Table of Contents

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    Book Overview
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    Chapter 1 A Multi-level Hierarchical Approach for Configuring Business Processes
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    Chapter 2 Profiling Simulation Performance: The Example of the German Toll System
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    Chapter 3 Analysis of Content of Posts and Comments in Evolving Social Groups
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    Chapter 4 Generation of Hierarchical Business Process Models from Attribute Relationship Diagrams
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    Chapter 5 Nonlinear Time Structures and Nonlinear Time Ontology for Description of Economic Phenomena
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    Chapter 6 Business Intelligence and Analytics in Organizations
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    Chapter 7 Low-Frequency Signal Reconstruction and Abrupt Change Detection in Non-stationary Time Series by Enhanced Moving Trend Based Filters
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    Chapter 8 The Assessment of the EPQ Parameter for Detecting H-Index Manipulation and the Analysis of Scientific Publications
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    Chapter 9 Fuzzy Multi-attribute Evaluation of Investments
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    Chapter 10 Theory of Digital Data Transformation in the ICT
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    Chapter 11 The Opportunities and Challenges Connected with Implementation of the Big Data Concept
Attention for Chapter 5: Nonlinear Time Structures and Nonlinear Time Ontology for Description of Economic Phenomena
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Citations

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Chapter title
Nonlinear Time Structures and Nonlinear Time Ontology for Description of Economic Phenomena
Chapter number 5
Book title
Advances in ICT for Business, Industry and Public Sector
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-11328-9_5
Book ISBNs
978-3-31-911327-2, 978-3-31-911328-9
Authors

Maria Mach-Król

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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