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|a 9783030266363
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|a Quix, Christoph
|e [editor]
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|a Data Management Technologies and Applications
|h Elektronische Ressource
|b 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers
|c edited by Christoph Quix, Jorge Bernardino
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|a 1st ed. 2019
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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300 |
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|a XI, 211 p. 117 illus., 51 illus. in color
|b online resource
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|a 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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653 |
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|a Computer Appl. in Social and Behavioral Sciences
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653 |
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|a Information Storage and Retrieval
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653 |
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|a Database Management
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|a Data mining
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653 |
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|a Application software
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653 |
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|a Artificial Intelligence
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Artificial intelligence
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653 |
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|a Information storage and retrieval
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653 |
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|a Database management
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700 |
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|a Bernardino, Jorge
|e [editor]
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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|a Communications in Computer and Information Science
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856 |
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|u https://doi.org/10.1007/978-3-030-26636-3?nosfx=y
|x Verlag
|3 Volltext
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|a 005.74
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|a 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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