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Data Management Technologies and Applications

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Cover of 'Data Management Technologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Constructing a Data Visualization Recommender System
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    Chapter 2 A Comprehensive Prediction Approach for Hardware Asset Management
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    Chapter 3 Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes
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    Chapter 4 Graph Pattern Index for Neo4j Graph Databases
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    Chapter 5 Architectural Considerations for a Data Access Marketplace Based upon API Management
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    Chapter 6 FPGA vs. SIMD: Comparison for Main Memory-Based Fast Column Scan
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    Chapter 7 Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches
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    Chapter 8 Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction
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    Chapter 9 Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks
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Title
Data Management Technologies and Applications
Published by
Springer International Publishing, September 2019
DOI 10.1007/978-3-030-26636-3
ISBNs
978-3-03-026635-6, 978-3-03-026636-3
Editors

Quix, Christoph, Bernardino, Jorge

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