DMIR Research Group

    Florian Lautenschlager

    University of Würzburg
    Department for Artificial Intelligence and Applied Computer Science
    Research Group for Data Mining and Information Retrieval

    Am Hubland
    D-97074 Würzburg

    Room: B114
    Tel.:      (+49 931)  31 - 86489

    Projects and Interests

    In the project P2Map I am trying to combine objective sensor data with subjective context information and to use this combined information in machine learning methods to predict a geospatial and temporal distribution of air quality.

    Therefore my interests spread across data mining and machine learning methods in general and more specificly methods for spatiotemporal data, for example land use regression. I am trying to develop a more general approach, because most land use regression models are designed for certain regions and rely on land usage data that may be only available in this region. For this task, neural networks, especially convolutional neural networks, are tested at the moment.

    In another facet of the P2Map-project, an array of low cost sensors has to be calibrated in order to reliably measure the surrounding air quality. Finally for the incorporation of the subjective data, like context information or perceptions, I will be working with techniques from the field of natural language processing.


    Seminar "Selected Chapters from the Web 2.0":


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    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Tel.: +49 931 31-86731
    Fax: +49 931 31-86732

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    Hubland Süd, Geb. M2