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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 Semiotics in Databases
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    Chapter 2 Fully Generic Queries: Open Problems and Some Partial Answers
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    Chapter 3 Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining
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    Chapter 4 Lavoisier: High-Level Selection and Preparation of Data for Analysis
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    Chapter 5 Discovering Platform Government Research Trends Using Topic Modeling
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    Chapter 6 J2J-GR: Journal-to-Journal References by Greek Researchers
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    Chapter 7 Deep Learning for French Legal Data Categorization
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    Chapter 8 Metadata Discovery Using Data Sampling and Exploratory Data Analysis
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    Chapter 9 Conceptual Models and Their Foundations
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    Chapter 10 Building Formal Semantic Domain Model: An Event-B Based Approach
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    Chapter 11 Social-Based Collaborative Recommendation: Bees Swarm Optimization Based Clustering Approach
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    Chapter 12 Hyperledger Fabric Blockchain as a Service for the IoT: Proof of Concept
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    Chapter 13 GraphQL Schema Generation for Data-Intensive Web APIs
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    Chapter 14 Digital Dices: Towards the Integration of Cyber-Physical Systems Merging the Web of Things and Microservices
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    Chapter 15 A Smart Living Framework: Towards Analyzing Security in Smart Rooms
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    Chapter 16 Concurrent Computing with Shared Replicated Memory
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    Chapter 17 MRSLICE: Efficient RkNN Query Processing in SpatialHadoop
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    Chapter 18 Should We Be Afraid of Querying Billions of Triples in a Graph-Based Centralized System?
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    Chapter 19 Extracting High-Level System Specifications from Source Code via Abstract State Machines
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    Chapter 20 Thinking the Incorporation of LOD in Semantic Cubes as a Strategic Decision
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    Chapter 21 Implementing Window Functions in a Column-Store with Late Materialization
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    Chapter 22 A Machine Learning Model for Automation of Ligament Injury Detection Process
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    Chapter 23 Robust Design of a Collaborative Platform for Model-Based System Engineering: Experience from an Industrial Deployment
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Title
Model and Data Engineering
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-32065-2
ISBNs
978-3-03-032064-5, 978-3-03-032065-2
Editors

Schewe, Klaus-Dieter, Singh, Neeraj Kumar

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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 %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%