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Conceptual Modeling

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Cover of 'Conceptual Modeling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Conceptual Models for Machine Learning Computations
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    Chapter 2 Recent Trends of Big Data Platforms and Applications
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    Chapter 3 Conceptual Modeling on Tencent’s Distributed Database Systems
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    Chapter 4 A Reference Framework for Conceptual Modeling
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    Chapter 5 Empirical Comparison of Model Consistency Between Ontology-Driven Conceptual Modeling and Traditional Conceptual Modeling
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    Chapter 6 A Conceptual Framework for Supporting Deep Exploration of Business Process Behavior
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    Chapter 7 An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturing
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    Chapter 8 Towards Data Visualisation Based on Conceptual Modelling
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    Chapter 9 Ontological Deep Data Cleaning
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    Chapter 10 Automatic Generation of Security Compliant (Virtual) Model Views
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    Chapter 11 The Common Ontology of Value and Risk
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    Chapter 12 Endurant Types in Ontology-Driven Conceptual Modeling: Towards OntoUML 2.0
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    Chapter 13 Reification and Truthmaking Patterns
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    Chapter 14 Conceptual Modeling of Legal Relations
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    Chapter 15 Inferring Deterministic Regular Expression with Counting
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    Chapter 16 Towards Quality Analysis for Document Oriented Bases
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    Chapter 17 A Holistic Approach for Soundness Verification of Decision-Aware Process Models
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    Chapter 18 Conceptual Modeling of Processes and Data: Connecting Different Perspectives
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    Chapter 19 Interactive Data-Driven Process Model Construction
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    Chapter 20 Efficient Multi-range Query Processing on Trajectories
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    Chapter 21 A Volunteer Design Methodology of Data Warehouses
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    Chapter 22 Using a Conceptual Model to Transform Road Networks from OpenStreetMap to a Graph Database
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    Chapter 23 Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction
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    Chapter 24 Towards the Design of a Scalable Business Process Management System Architecture in the Cloud
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    Chapter 25 Towards an Ontology of Software Defects, Errors and Failures
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    Chapter 26 TemporalEMF : A Temporal Metamodeling Framework
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    Chapter 27 A Semantic Framework for Designing Temporal SQL Databases
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    Chapter 28 Nested Schema Mappings for Integrating JSON
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    Chapter 29 Multi-level Conceptual Modeling: From a Formal Theory to a Well-Founded Language
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    Chapter 30 Increasing the Semantic Transparency of the KAOS Goal Model Concrete Syntax
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    Chapter 31 Using Contextual Goal Models for Constructing Situational Methods
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    Chapter 32 Multi-perspective Comparison of Business Process Variants Based on Event Logs
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    Chapter 33 Managing Polyglot Systems Metadata with Hypergraphs
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    Chapter 34 Renormalization of NoSQL Database Schemas
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    Chapter 35 Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases
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    Chapter 36 How the Conceptual Modelling Improves the Security on Document Databases
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    Chapter 37 Leveraging the Dynamic Changes from Items to Improve Recommendation
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    Chapter 38 Mining Rules with Constants from Large Scale Knowledge Bases
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    Chapter 39 Concepts in Quality Assessment for Machine Learning - From Test Data to Arguments
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    Chapter 40 Inductive Discovery by Machine Learning for Identification of Structural Models
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    Chapter 41 Realtime Event Summarization from Tweets with Inconsistency Detection
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    Chapter 42 CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification
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    Chapter 43 Learning Restricted Regular Expressions with Interleaving from XML Data
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    Chapter 44 A Method to Identify Relevant Genome Data: Conceptual Modeling for the Medicine of Precision
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    Chapter 45 Experiences Applying $$\hbox {e}^{3}$$ Value Modeling in a Cross-Company Study
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    Chapter 46 Event-Context-Feedback Control Through Bridge Workflows for Smart Solutions
Attention for Chapter 31: Using Contextual Goal Models for Constructing Situational Methods
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Chapter title
Using Contextual Goal Models for Constructing Situational Methods
Chapter number 31
Book title
Conceptual Modeling
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-00847-5_31
Book ISBNs
978-3-03-000846-8, 978-3-03-000847-5
Authors

Jolita Ralyté, Xavier Franch, Ralyté, Jolita, Franch Gutiérrez, Javier, Franch, Xavier

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor > Associate Professor 1 17%
Student > Postgraduate 1 17%
Lecturer 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Engineering 1 17%
Unknown 2 33%

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