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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Templ, Matthias,
2017.
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Templ, Matthias; Hron, Karel; Filzmoser, Peter,
2017.
Exploring outliers in compositional data with structural zeros.
In:
CoDaWork 2017: 7th International Workshop on Compositional Data Analysis, Siena, Italy, 5-9 June 2017.
Available from: http://www.compositionaldata.com/codawork2017/abstracts/8thThursday/Oral/ZER-2.pdf
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Hu, Yang; Palmé, Thomas; Fink, Olga,
2017.
Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines.
Engineering Applications of Artificial Intelligence.
57, pp. 105-117.
Available from: https://doi.org/10.1016/j.engappai.2016.10.010
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Meierhofer, Jürg; Meier, Kevin,
2017.
From data science to value creation[paper].
In:
Za, Stefano; Drăgoicea, Monica; Cavallari, Maurizio, eds.,
Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings.
8th International Conference (IESS 2017), Rome, Italy, 24-26 May 2017.
Cham:
Springer.
pp. 173-181.
Lecture notes in business information processing ; 279.
Available from: https://doi.org/10.1007/978-3-319-56925-3_14
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Chu, Jeffrey; Chan, Stephen; Nadarajah, Saralees; Osterrieder, Jörg,
2017.
GARCH modelling of cryptocurrencies.
Journal of Risk and Financial Management.
10(17).
Available from: https://doi.org/10.3390/jrfm10040017