Data Management Technologies and Applications: 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers
Author:   Christoph Quix ,  Jorge Bernardino
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   862
ISBN:  

9783030266356


Pages:   211
Publication Date:   20 July 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Management Technologies and Applications: 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers


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Overview

This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.

Full Product Details

Author:   Christoph Quix ,  Jorge Bernardino
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   862
Weight:   0.454kg
ISBN:  

9783030266356


ISBN 10:   3030266354
Pages:   211
Publication Date:   20 July 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Constructing a Data Visualization Recommender System.- A Comprehensive Prediction Approach for Hardware Asset Management.- Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Process.- Graph Pattern Index for Neo4j Graph Databases.- Architectural Considerations for a Data Access Marketplace based Upon API Management.- FPGA vs. SIMD: Comparison for Main Memory-based Fast Column Scan.- Infectious Disease Prediction Modelling using Synthetic Optimization Approaches.- Concept Recognition with Convolutional Neural Networks to Optimize Keyphraze Extraction.- Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks.

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