Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Bütikofer, Stephan; Steiner, Albert,
2016.
In:
Operations Research Proceedings 2014.
Annual International Conference of the German Operations Research Society (GOR), Aachen, Germany, 2-5 September 2014.
Cham:
Springer.
pp. 83-89.
Operations Research Proceedings.
Available from: https://doi.org/10.1007/978-3-319-28697-6_13
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Hochschule Luzern - Wirtschaft; Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI), eds.,
2016.
Forschungspaket VeSPA Teilprojekt 1-M, Massnahmen und Potenziale im Bereich Verkehrsteilnehmende.
Forschungsberichte SVI
; 1591.
Bern:
Bundesamt für Strassen.
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Templ, Matthias; Hron, Karel; Filzmoser, Peter; Gardlo, Alžbӗta,
2016.
Imputation of rounded zeros for high-dimensional compositional data.
Chemometrics and Intelligent Laboratory Systems.
2016(155), pp. 183-190.
Available from: https://doi.org/10.1016/j.chemolab.2016.04.011
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Kowarik, Alexander; Templ, Matthias,
2016.
Imputation with the R Package VIM.
Journal of Statistical Software.
74(7), pp. 1-16.
Available from: https://doi.org/10.18637/jss.v074.i07
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Meierhofer, Jürg; Lév, Jana,
2016.
Computerworld.
pp. 18-19.