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Model and Data Engineering

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Cover of 'Model and Data Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling and Simulation of Hadoop Distributed File System in a Cluster of Workstations
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    Chapter 2 Analysis of Twitter Data Using a Multiple-level Clustering Strategy
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    Chapter 3 Persistent Meta-Modeling Systems as Heterogeneous Model Repositories
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    Chapter 4 OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data
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    Chapter 5 Centrality Indices for Web Search Engine Results Understanding
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    Chapter 6 Generation of Reliable Randomness via Social Phenomena
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    Chapter 7 Model and Data Engineering
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    Chapter 8 A Preliminary Survey on Innovation Process Management Systems
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    Chapter 9 A Stakeholder-Centric Optimization Strategy for Architectural Documentation
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    Chapter 10 Hints from the Crowd : A Novel NoSQL Database
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    Chapter 11 Retracted: Towards a Formal Approach for Verifying Temporal Coherence in a SMIL Document Presentation
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    Chapter 12 Analyzing Massive Streaming Heterogeneous Data: Towards a New Computing Model for Computational Sustainability
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    Chapter 13 Toward Expressing a Preliminary Core Identity Significantly Characterized from the Social Network Temporal Dynamicity
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    Chapter 14 Clustering Heterogeneous Data Streams with Uncertainty over Sliding Window
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    Chapter 15 Schema Extraction and Integration of Heterogeneous XML Document Collections
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    Chapter 16 Structural Entities of an Ontology-Driven Unifying Metamodel for UML, EER, and ORM2
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    Chapter 17 The Foundational Ontology Library ROMULUS
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    Chapter 18 Transforming Formal Specification Constructs into Diagrammatic Notations
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    Chapter 19 A Markov Chain Based Model to Predict HIV/AIDS Epidemiological Trends
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    Chapter 20 Pattern-Based ETL Conceptual Modelling
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    Chapter 21 Towards OntoUML for Software Engineering: From Domain Ontology to Implementation Model
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    Chapter 22 Model Engineering as a Social Activity: The Case of Business Processes
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    Chapter 23 A Transformation-Driven Approach to Automate Feedback Verification Results
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    Chapter 24 Allegories for Database Modeling
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    Chapter 25 Erratum: Towards a Formal Approach for Verifying Temporal Coherence in a SMIL Document Presentation
Overall attention for this book and its chapters
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Title
Model and Data Engineering
Published by
Springer Berlin Heidelberg, September 2013
DOI 10.1007/978-3-642-41366-7
ISBNs
978-3-64-241365-0, 978-3-64-241366-7
Editors

Cuzzocrea, Alfredo, Maabout, Sofian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United States 1 1%
Russia 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 24%
Student > Ph. D. Student 14 19%
Student > Bachelor 14 19%
Researcher 9 13%
Student > Doctoral Student 7 10%
Other 8 11%
Unknown 3 4%
Readers by discipline Count As %
Computer Science 44 61%
Engineering 10 14%
Business, Management and Accounting 4 6%
Social Sciences 3 4%
Agricultural and Biological Sciences 2 3%
Other 3 4%
Unknown 6 8%