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

✍ Scribed by Christoph Quix, Jorge Bernardino


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
221
Series
Communications in Computer and Information Science 862
Edition
1st ed.
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter ....Pages i-xi
Constructing a Data Visualization Recommender System (Petra KubernΓ‘tovΓ‘, Magda FriedjungovΓ‘, Max van Duijn)....Pages 1-25
A Comprehensive Prediction Approach for Hardware Asset Management (Alexander Wurl, Andreas Falkner, Peter Filzmoser, Alois HaselbΓΆck, 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 PokornΓ½, 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 UngethΓΌm, 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

✦ Subjects


Computer Science; Database Management; Information Storage and Retrieval; Computer Appl. in Social and Behavioral Sciences; Data Mining and Knowledge Discovery


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