Ausgabe 5/2020
Special Issue on Data analytics for engineering, science and society
Inhalt (13 Artikel)
Editorial special issue on data analytics for engineering, science and society
Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar
Quantumized approach of load scheduling in fog computing environment for IoT applications
Munish Bhatia, Sandeep K. Sood, Simranpreet Kaur
A deep learning based framework for optimizing cloud consumer QoS-based service composition
Samar Haytamy, Fatma Omara
Strategies for array data retrieval from a relational back-end based on access patterns
Andrej Andrejev, Kjell Orsborn, Tore Risch
On privacy-aware eScience workflows
Khalid Belhajjame, Noura Faci, Zakaria Maamar, Vanilson Burégio, Edvan Soares, Mahmoud Barhamgi
Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach
Khaled Fawagreh, Mohamed Medhat Gaber
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis
Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
Training ensembles of faceted classification models for quantitative stock trading
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis
Characterizing user behavior in journey planning
Ludovico Boratto, Matteo Manca, Giuseppe Lugano, Marián Gogola
On cycling risk and discomfort: urban safety mapping and bike route recommendations
David Castells-Graells, Christopher Salahub, Evangelos Pournaras
SAT-based models for overlapping community detection in networks
Said Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais