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

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 Sparse-reduced computation: enabling mining of massively-large data sets (Unpublished).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

Item Type:

Conference or Workshop Item (Speech)

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:

Larissa Notz

Date Deposited:

26 Apr 2016 14:12

Last Modified:

31 Jul 2017 08:19

URI:

https://boris.unibe.ch/id/eprint/79030

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