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On the Move to Meaningful Internet Systems. OTM 2018 Conferences

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Cover of 'On the Move to Meaningful Internet Systems. OTM 2018 Conferences'

Table of Contents

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    Book Overview
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    Chapter 1 Digitization of Government Services: Digitization Process Mapping
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    Chapter 2 Modeling Process Interactions with Coordination Processes
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    Chapter 3 Blockchain-Based Collaborative Development of Application Deployment Models
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    Chapter 4 Evaluating Multi-tenant Live Migrations Effects on Performance
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    Chapter 5 Probability Based Heuristic for Predictive Business Process Monitoring
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    Chapter 6 Indulpet Miner: Combining Discovery Algorithms
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    Chapter 7 Towards Event Log Querying for Data Quality
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    Chapter 8 Towards a Collective Awareness Platform for Privacy Concerns and Expectations
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    Chapter 9 Shadow Testing for Business Process Improvement
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    Chapter 10 A DevOps Implementation Framework for Large Agile-Based Financial Organizations
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    Chapter 11 Utilizing Twitter Data for Identifying and Resolving Runtime Business Process Disruptions
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    Chapter 12 Semantic IoT Gateway: Towards Automated Generation of Privacy-Preserving Smart Contracts in the Internet of Things
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    Chapter 13 Crowdsourcing Task Assignment with Online Profile Learning
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    Chapter 14 Distributed Collaborative Filtering for Batch and Stream Processing-Based Recommendations
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    Chapter 15 Detecting Constraints and Their Relations from Regulatory Documents Using NLP Techniques
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    Chapter 16 Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process Descriptions
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    Chapter 17 Evolution of Instance-Spanning Constraints in Process Aware Information Systems
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    Chapter 18 Process Histories - Detecting and Representing Concept Drifts Based on Event Streams
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    Chapter 19 Lifecycle-Based Process Performance Analysis
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    Chapter 20 A Relevance-Based Data Exploration Approach to Assist Operators in Anomaly Detection
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    Chapter 21 Exploiting Smart City Ontology and Citizens’ Profiles for Urban Data Exploration
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    Chapter 22 Design and Performance Analysis of Load Balancing Strategies for Cloud-Based Business Process Management Systems
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    Chapter 23 Towards Cooperative Semantic Computing: A Distributed Reasoning Approach for Fog-Enabled SWoT
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    Chapter 24 Enhancing Business Process Flexibility by Flexible Batch Processing
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    Chapter 25 Scheduling Business Process Activities for Time-Aware Cloud Resource Allocation
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    Chapter 26 Designing Process Diagrams – A Framework for Making Design Choices When Visualizing Process Mining Outputs
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    Chapter 27 A Viewpoint for Integrating Costs in Enterprise Architecture
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    Chapter 28 Coop-DAAB: Cooperative Attribute Based Data Aggregation for Internet of Things Applications
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    Chapter 29 On Cancellation of Transactions in Bitcoin-Like Blockchains
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    Chapter 30 Spam Detection Approach for Cloud Service Reviews Based on Probabilistic Ontology
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    Chapter 31 Formal Modelling and Verification of Cloud Resource Allocation in Business Processes
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    Chapter 32 Integrating Digital Identity and Blockchain
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    Chapter 33 Context-Aware Predictive Process Monitoring: The Impact of News Sentiment
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    Chapter 34 Deadlock-Freeness Verification of Cloud Composite Services Using Event-B
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    Chapter 35 A Formal Model for Business Process Configuration Verification Supporting OR-Join Semantics
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    Chapter 36 Change Detection in Event Logs by Clustering
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    Chapter 37 Dimensions for Scoping e-Government Enterprise Architecture Development Efforts
Attention for Chapter 18: Process Histories - Detecting and Representing Concept Drifts Based on Event Streams
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Chapter title
Process Histories - Detecting and Representing Concept Drifts Based on Event Streams
Chapter number 18
Book title
On the Move to Meaningful Internet Systems. OTM 2018 Conferences
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-02610-3_18
Book ISBNs
978-3-03-002609-7, 978-3-03-002610-3
Authors

Florian Stertz, Stefanie Rinderle-Ma, Stertz, Florian, Rinderle-Ma, Stefanie

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Researcher 2 20%
Unspecified 1 10%
Professor 1 10%
Student > Doctoral Student 1 10%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Unspecified 1 10%
Business, Management and Accounting 1 10%
Engineering 1 10%
Unknown 3 30%