M
Michael Granitzer
Researcher at University of Passau
Publications - 237
Citations - 3253
Michael Granitzer is an academic researcher from University of Passau. The author has contributed to research in topics: Computer science & Semantic Web. The author has an hindex of 26, co-authored 216 publications receiving 2927 citations. Previous affiliations of Michael Granitzer include Graz University of Technology & University of Graz.
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Journal ArticleDOI
Sequence Classification for Credit-Card Fraud Detection
Johannes Jurgovsky,Michael Granitzer,Konstantin Ziegler,Sylvie Calabretto,Pierre-Edouard Portier,Liyun He-Guelton,Olivier Caelen +6 more
TL;DR: It is shown that the LSTM improves detection accuracy on offline transactions where the card-holder is physically present at a merchant, and both the sequential and non-sequential learning approaches benefit strongly from manual feature aggregation strategies.
Proceedings ArticleDOI
On the Beauty and Usability of Tag Clouds
TL;DR: A family of novel algorithms for tag cloud layout is proposed and evaluation results obtained from an extensive user study and a technical evaluation enable designers to devise a combination of algorithm and parameters which produces satisfying tag cloud layouts for many application scenarios.
Journal ArticleDOI
The InfoSky visual explorer: exploiting hierarchical structure and document similarities
Keith Andrews,Wolfgang Kienreich,Vedran Sabol,Jutta Becker,Georg Droschl,Frank Kappe,Michael Granitzer,Peter Auer,Klaus Tochtermann +8 more
TL;DR: InfoSky is a system enabling users to explore large, hierarchically structured document collections using a planar graphical representation with variable magnification, and can map metadata such as document size or age to attributes of the visualisation such as colour and luminance.
Journal IssueDOI
Combining BPM and social software: contradiction or chance?
Selim Erol,Michael Granitzer,Simone Happ,Sami Jantunen,Ben J. Jennings,Paul Johannesson,Agnes Koschmider,Selmin Nurcan,Davide Rossi,Rainer Schmidt +9 more
TL;DR: The results of the workshop on Business Process Management and Social Software (BPMS2'08), as part of the International Conference on Business process Management in Milano, show the manifold possibilities of combining concepts from Business Process management and social software.
Proceedings ArticleDOI
Accelerating K-Means on the Graphics Processor via CUDA
Mario Zechner,Michael Granitzer +1 more
TL;DR: An optimized k-means implementation on the graphics processing unit (GPU) is presented, demonstrating a maximum 14x speed increase to a fully SIMD optimized CPU implementation.