Applications of Big Data can be found in all disciplines across business, government, science, health, and education. Big Data Applications involves collection, management, and nalysis of large datasets in order to add value for the activities of the discipline. Big data analytics examines large data sets containing a variety of data types to uncover hidden patterns useful to making decisions in business, science, and government. This track is open to all research across all application areas touching on the storage, querying, analysis, mining, and management of Big Data.
Topics of interest include, but not limited to:
Applications to business, science, GIS, transport, supply chain, medicine, government
Management of ultra-large scale structured and unstructured data
Management of unstructured data, text, images, videos, social media, and graphs
Distributed data mining using MapReduce and Graph processing
Linked data Semantic web
Data analytics Data mining Outlier detection
Data provenance
07月12日
2017
07月14日
2017
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