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    DMIR Research Group

    Publications by Andreas Hotho

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    Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications

    Lemmerich, Florian; Singer, Philipp; Becker, Martin; Espin-Noboa, Lisette; Dimitrov, Dimitar; Helic, Denis; Hotho, Andreas; Strohmaier, Markus in Machine Learning and Knowledge Discovery in Databases Altun, Yasemin; Das, Kamalika; Mielikäinen, Taneli; Malerba, Donato; Stefanowski, Jerzy; Read, Jesse; vZitnik, Marinka; Ceci, Michelangelo; Dvzeroski, Savso ( Eds. ), page 354--357 . Cham , Springer International Publishing , 2017 .

    Sequential data can be found in many settings, e.g., as sequences of visited websites or as location sequences of travellers. To improve the understanding of the underlying mechanisms that generate such sequences, the HypTrails approach provides for a novel data analysis method. Based on first-order Markov chain models and Bayesian hypothesis testing, it allows for comparing a set of hypotheses, i.e., beliefs about transitions between states, with respect to their plausibility considering observed data. HypTrails has been successfully employed to study phenomena in the online and the offline world. In this talk, we want to give an introduction to HypTrails and showcase selected real-world applications on urban mobility and reading behavior on Wikipedia.
    Further Information
    Editor(s) Altun, Yasemin; Das, Kamalika; Mielikäinen, Taneli; Malerba, Donato; Stefanowski, Jerzy; Read, Jesse; vZitnik, Marinka; Ceci, Michelangelo; Dvzeroski, Savso
    Tags2017  application  bayesian  data  hypotheses  hyptrails  myown  overview  sequential 

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    Andreas Hotho
    DMIR Research Group
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    97074 Würzburg

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