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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Meindl, Bernhard; Templ, Matthias,
2019.
Feedback-based integration of the whole process of data anonymization in a graphical interface.
Algorithms.
12(9), pp. 191.
Available from: https://doi.org/10.3390/a12090191
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Templ, Barbara; Mozes, Edina; Templ, Matthias; Földesi, Rita; Szirák, Ádám; Báldi, András; Kovács-Hostyánszki, Anikó,
2019.
Habitat-dependency of transect walk and pan trap methods for bee sampling in farmlands.
Journal of Apicultural Science.
63(1), pp. 93-115.
Available from: https://doi.org/10.2478/JAS-2019-0014
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Ahelegbey, Daniel Felix; Giudici, Paolo; Hadji Misheva, Branka,
2019.
Latent factor models for credit scoring in P2P systems.
Physica A: Statistical Mechanics and its Applications.
522, pp. 112-121.
Available from: https://doi.org/10.1016/j.physa.2019.01.130
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Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,
2019.
Network based credit risk models.
Quality Engineering.
32(2), pp. 199-211.
Available from: https://doi.org/10.1080/08982112.2019.1655159
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Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,
2019.
Network based scoring models to improve credit risk management in peer to peer lending platforms.
Frontiers in Artificial Intelligence.
2(3).
Available from: https://doi.org/10.3389/frai.2019.00003