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Research

The Data Science Lab is active in several areas of leading research. The following is a list of selected current publications:

Mohammad Asghari, Tobias Emrich, Ugur Demiryurek, Cyrus Shahabi.
Probabilistic estimation of link travel times in dynamic road networks
23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015.

A. Zimek, J. Vreeken
The Blind Men and the Elephant: On Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives
Machine Learning, 98(1–2): 121–155, 2015.

Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz.
Representative clustering of uncertain data
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,2014: 243-252

Erich Schubert, Michael Weiler, Hans-Peter Kriegel.
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds
20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,2014: 871-880



Full List of Publications



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