Concluded Projects

Understanding user behaviour in web shops and personalizing the online experience of users.

Developing machine learning based approaches for regional environmental prediction models.

CLiGS combines large text collections with innovative analysis methods and hermeneutic sensibility for context.

Machine Learning for fraud detection in enterprise resource planning software systems.

A project for collaborative collection of environmental sensor data with low cost sensors.

The goal in Kallimachos is to build a complete text analysis pipeline, starting with OCR from paper and going up to high-level text mining.

Learning understandable maps of air pollution leveraging a combination of low-cost mobile sensors and subjective feedback from users in Würzburg.

Pragmatik und Semantik von kollaborativen Tagging-Systemen.

A project for academic publication managment.

Contributing to a better understanding of the role of geographic and thematic proximity in the success of scientific research.

Hubland Süd, Geb. M2

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