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ORCIDFrontiers in Big Data, Volume 1
Volume 1, 2018
- Huan Liu:
Beyond the Scale of Big Data. 1 - Frank Emmert-Streib, Olli P. Yli-Harja, Matthias Dehmer:
Data Analytics Applications for Streaming Data From Social Media: What to Predict? 2 - Elizabeth Harrison
, Caitlin N. Dreisbach, Nada Basit, Jessica Keim-Malpass:
An Application of Data Mining Techniques to Explore Congressional Lobbying Records for Patterns in Pediatric Special Interest Expenditures Prior to the Affordable Care Act. 3 - Chiara Pavanello, Marina Parolini, Antonia Alberti, Michele Carenini, Paolo Maino, Giuliana Mombelli, Franco Pazzucconi, Gianni Origgi, Federica Orsi, Maria Giovanna Trivella, Laura Calabresi, Renata De Maria:
Systematic Lab Knowledge Integration for Management of Lipid Excess in High-Risk Patients: Rationale and Design of the SKIM LEAN Project. 4 - Thomas Hartung:
Making Big Sense From Big Data. 5 - Kristian Kersting:
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines. 6 - Stuart Jackson, Maha Yaqub, Cheng-Xi Li:
The Agile Deployment of Machine Learning Models in Healthcare. 7
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