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    Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts 

    Federico, Paolo; Unger, Jürgen; Amor-Amorós, Albert; Sacchi, Lucia; Klimov, Denis; Miksch, Silvia (The Eurographics Association, 2015)
    The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ...
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    Exploration and Assessment of Event Data 

    Bodesinsky, Peter; Alsallakh, Bilal; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2015)
    Event data is generated in many domains, like business process management, industry or healthcare. These datasets are often unstructured, exhibit variant behaviour, and may contain errors. Before applying automated analysis ...
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    Integrating Predictions in Time Series Model Selection 

    Bögl, Markus; Aigner, Wolfgang; Filzmoser, Peter; Gschwandtner, Theresia; Lammarsch, Tim; Miksch, Silvia; Rind, Alexander (The Eurographics Association, 2015)
    Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
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    Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time 

    Lammarsch, Tim; Rind, Alexander; Aigner, Wolfgang; Miksch, Silvia (The Eurographics Association, 2012)
    Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of ...
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    Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges 

    Alsallakh, Bilal; Micallef, Luana; Aigner, Wolfgang; Hauser, Helwig; Miksch, Silvia; Rodgers, Peter (The Eurographics Association, 2014)
    A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial ...
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    A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data 

    Alsallakh, Bilal; Bögl, Markus; Gschwandtner, Theresia; Miksch, Silvia; Esmael, Bilal; Arnaout, Arghad; Thonhauser, Gerhard; Zöllner, Philipp (The Eurographics Association, 2014)
    Many natural and industrial processes such as oil well construction are composed of a sequence of recurring activities. Such processes can often be monitored via multiple sensors that record physical measurements over time. ...
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    Visual Analytics for Fraud Detection: Focusing on Profile Analysis 

    Leite, Roger Almeida; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2016)
    Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining ...
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    Visual Analytics for Multitemporal Aerial Image Georeferencing 

    Amor-Amorós, Albert; Federico, Paolo; Miksch, Silvia; Zambanini, Sebastian; Brenner, Simon; Sablatnig, Robert (The Eurographics Association, 2017)
    Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
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    CV3: Visual Exploration, Assessment, and Comparison of CVs 

    Filipov, Velitchko Andreev; Federico, Paolo; Miksch, Silvia (The Eurographics Association, 2018)
    Curriculum Vitae (CV) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatial, temporal, nominal, and ordinal data. Commonly, ...
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    Visually Exploring Data Provenance and Quality of Open Data 

    Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
    While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
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    Miksch, Silvia (16)
    Gschwandtner, Theresia (8)Aigner, Wolfgang (4)Alsallakh, Bilal (4)Bögl, Markus (4)Bors, Christian (3)Federico, Paolo (3)Gschwandtner, Theresia (3)Lammarsch, Tim (3)Miksch, Silvia (3)... View MoreSubjectHuman (10)centered computing (9)Visual analytics (6)Information systems (5)Computing methodologies (4)concepts and paradigms (4)Time series analysis (4)Visualization theory (4)Mathematics of computing (3)User Interfaces (3)... View MoreDate Issued2018 (6)2015 (3)2019 (3)2014 (2)2010 (1)2011 (1)2012 (1)2016 (1)2017 (1)2020 (1)Has File(s)true (20)

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    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
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