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Record Nr. |
UNINA9910349291303321 |
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Titolo |
Data Management Technologies and Applications : 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers / / edited by Christoph Quix, Jorge Bernardino |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XI, 211 p. 117 illus., 51 illus. in color.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0929 ; ; 862 |
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Disciplina |
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Soggetti |
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Database management |
Artificial intelligence |
Information storage and retrieval |
Application software |
Data mining |
Database Management |
Artificial Intelligence |
Information Storage and Retrieval |
Computer Appl. in Social and Behavioral Sciences |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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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Sommario/riassunto |
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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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