Machine Learning for Big Data--Big Data Service 2019
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: closed (20 February 2020) | Viewed by 5750
Special Issue Editor
Special Issue Information
Dear Colleagues,
Big Data has incredible potential in fields such as health case, self-driving vehicles, online advertising, energy, and finance. However, its potential highly relies on the performance of the data analytics methods used. Machine learning is a field that deals with understanding data and building models. Traditional machine-learning techniques rely on assumptions that are no longer valid in the context of Big Data. This Special Issue will address challenges and possible solutions specific to machine learning in the context of Big Data. These issues could be related to any of the aspects of Big Data: its volume, variety, velocity, veracity, or valence.
Dr. Birsen Sirkeci
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- big data
