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Data management technologies and app...
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Data management technologies and applications = 7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data management technologies and applications/ edited by Christoph Quix, Jorge Bernardino.
Reminder of title:
7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /
remainder title:
DATA 2018
other author:
Quix, Christoph.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xi, 211 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Database management - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-26636-3
ISBN:
9783030266363
Data management technologies and applications = 7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /
Data management technologies and applications
7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /[electronic resource] :DATA 2018edited by Christoph Quix, Jorge Bernardino. - Cham :Springer International Publishing :2019. - xi, 211 p. :ill., digital ;24 cm. - Communications in computer and information science,8621865-0929 ;. - Communications in computer and information science ;311..
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.
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.
ISBN: 9783030266363
Standard No.: 10.1007/978-3-030-26636-3doiSubjects--Topical Terms:
528400
Database management
--Congresses.
LC Class. No.: QA76.9.D3
Dewey Class. No.: 005.7
Data management technologies and applications = 7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /
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7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018 : revised selected papers /
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edited by Christoph Quix, Jorge Bernardino.
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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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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.
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