ENGLISH

Data Management Technologies and Applications: 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers

By Christoph Quix , Jorge Bernardino

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-26635-6;978-3-030-26636-3
Language
english
Format
PDF
Filesize
13 MB (13343315 bytes)
Series
Communications in Computer and Information Science 862
Edition
1st ed.
Pages
XI, 211\221
Time added
2019-09-18 12:19:50
Computer Science; Database Management; Information

Description

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. Front Matter ....Pages i-xi Constructing a Data Visualization Recommender System (Petra Kubernátová, Magda Friedjungová, Max van Duijn)....Pages 1-25 A Comprehensive Prediction Approach for Hardware Asset Management (Alexander Wurl, Andreas Falkner, Peter Filzmoser, Alois Haselböck, Alexandra Mazak, Simon Sperl)....Pages 26-49 Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes (Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer)....Pages 50-68 Graph Pattern Index for Neo4j Graph Databases (Jaroslav Pokorný, Michal Valenta, Martin Troup)....Pages 69-90 Architectural Considerations for a Data Access Marketplace Based upon API Management (Uwe Hohenstein, Sonja Zillner, Andreas Biesdorf)....Pages 91-115 FPGA vs. SIMD: Comparison for Main Memory-Based Fast Column Scan (Nusrat Jahan Lisa, Annett Ungethüm, Dirk Habich, Wolfgang Lehner, Nguyen Duy Anh Tuan, Akash Kumar)....Pages 116-140 Infectious Disease Prediction Modelling Using Synthetic Optimisation Approaches (Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne)....Pages 141-159 Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction (Andreas Waldis, Luca Mazzola, Michael Kaufmann)....Pages 160-188 Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks (Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Vittorio Ghini)....Pages 189-209 Back Matter ....Pages 211-211

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