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Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

Persons and affiliations

Matthias Walter - , Chair of Business Information Systems, esp. Information Systems in Industry and Trade (Speaker)

Date

26 Feb 2019

Description

Poster-Präsentation

Symposium

Title	International Conference on Wirtschaftsinformatik 2019
Subtitle	Human Practice. Digital Ecologies. Our Future.
Abbreviated title	WI 2019
Conference number	14
Duration	23 - 27 February 2019
Website	https://wi2019.de
Degree of recognition	International event
Location	Siegerlandhalle
City	Siegen
Country	Germany

Keywords

Research priority areas of TU Dresden

Information Technology and Microelectronics

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Sustainable Development Goals

Related content

Research output

Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization

Walter, M., Vasyutynskyy, V., Trinh, D. A. & Leyh, C., 2019, Wirtschaftsinformatik 2019 Proceedings. p. 529-534

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

View all research output (1)