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The heterogeneity, noise, and the massive size of structured big data calls for developing computationally efficient algorithms that may avoid big data pitfalls, such as spurious correlation.
Amir Gandomi is an assistant professor at the Ted Rogers School of Information Technology Management, Ryerson University.
His research lies at the intersection of marketing, operations research and IT.
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