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Small Data in Big Data — Ayse Bener, Ryerson University

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Published on Sep 11, 2013

From IEEE Software magazine's Software Experts Summit, sponsored by Shell Global Solutions, on July 17 at the Microsoft Campus in Redmond, Wash.

As data gets big and complex, there is a need for multiscale approaches in transforming data to knowledge. This transformation takes place by joining disciplines to model, analyze, learn, and extract knowledge in diverse domains from biomedicine to environment, engineering, business, software, and banking. This talk will primarily touch upon the relevance of small data in big data, the process (from dataset to the algorithm), interpreting and finding meaning to data, and algorithms to predict and cause the future events.

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