Scalable data analytics using crowdsourced repositories and streams

The scalable analysis of crowdsourced data repositories and streams has quickly become a critical experimental asset in multiple fields. It enables the systematic aggregation of otherwise disperse data sources and their efficient processing using significant amounts of computational resources. Howev...

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Bibliographic Details
Main Author: Veloso, Bruno (author)
Other Authors: Leal, Fátima (author), González-Veléz, Horacio (author), Malheiro, Benedita (author), Burguillo, Juan Carlos (author)
Format: article
Language:eng
Published: 2018
Subjects:
High performance computing
Crowdsourcing
Recommender systems
Big data
Data analytics
Parallel processing
Distributed computing
Smart tourism
Online Access:http://hdl.handle.net/10400.22/11910
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/11910

Internet

http://hdl.handle.net/10400.22/11910

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