Big Data

Digesting Big Data

With Big Data playing a role in the lives of companies and individuals across the globe, and data being collected on everything from apps to electronic health records to parking meters, society debates how best to use this mass of information.

“The stormy sea of Big Data can lead to data indigestion,” WNCG Associate Director Prof. Constantine Caramanis states. “We are interested in the application of data for engineering problems, from petroleum to health to recommendation engines.”

Digesting Big Data

With Big Data playing a role in the lives of companies and individuals across the globe, and data being collected on everything from apps to electronic health records to parking meters, society debates how best to use this mass of information.

“The stormy sea of Big Data can lead to data indigestion,” WNCG Associate Director Prof. Constantine Caramanis states. “We are interested in the application of data for engineering problems, from petroleum to health to recommendation engines.”

Succinct Representations of Big Data: Binary Embeddings

Low distortion embeddings that transform high-dimensional points to low-dimensional space have played an important role in dealing with storage, information retrieval and machine learning problems for modern (large scale) datasets. Xinyang Yi and Profs. Constantine Caramanis and Eric Price develop novel algorithms with the best-known results for this important problem.

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