Sparse-reduced computation: enabling mining of massively-large data sets

Baumann, Philipp; Hochbaum, D.S.; Spaen, Q. (2016). Sparse-reduced computation: enabling mining of massively-large data sets. In: 5th International Conference on Pattern Recognition Applications and Methods. Rome. 24.-26.02.2016.

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Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Financial Management > Professorship for Quantitative Methods in Business Administration

UniBE Contributor:

Baumann, Philipp

Subjects:

600 Technology > 650 Management & public relations

Language:

English

Submitter:

Juliana Kathrin Moser-Zurbrügg

Date Deposited:

26 Apr 2016 14:13

Last Modified:

05 Dec 2022 14:53

URI:

https://boris.unibe.ch/id/eprint/79032

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