Logo des Repositoriums

Auflistung nach Autor:in "Hecker, Dirk"

1 - 5 von 5
  • Zeitschriftenartikel
    Big Data 2.0 – mit synthetischen Daten KI-Systeme stärken
    (Wirtschaftsinformatik & Management: Vol. 15, No. 2, 2023) Hecker, Dirk; Voss, Angi; Paaß, Gerhard; Wirtz, Tim
  • Zeitschriftenartikel
    Big-Data-Geschäftsmodelle — die drei Seiten der Medaille
    (Wirtschaftsinformatik & Management: Vol. 8, No. 6, 2016) Hecker, Dirk; Koch, Daniel Jeffrey; Heydecke, Joerg; Werkmeister, Christoph
  • Zeitschriftenartikel
    Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie
    (Wirtschaftsinformatik & Management: Vol. 9, No. 5, 2017) Hecker, Dirk; Döbel, Inga; Rüping, Stefan; Schmitz, Velina
  • Konferenzbeitrag
    Modelling missing values for audience measurement in outdoor advertising using GPS data
    (Informatik 2009 – Im Focus das Leben, 2009) May, Michael; Körner, Christine; Hecker, Dirk; Pasquier, Martial; Hofmann, Urs; Mende, Felix
    GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test persons over several days, their passages with arbitrary poster campaigns can be calculated. However, inference is complicated by the early dropout of persons. Other than in most demonstrations of spatial data mining algorithms where the structure of the data sample is usually disregarded, poster performance measures such as reach and gross impressions evolve continuously over time and require nonintermittent observations. In this paper, we investigate the applicability of survival analysis to compensate for missing measurement days. We formalize the task of modeling the visit potential of geographic locations based on trajectory data as our variable of interest results from dispersed events in space-time. We perform experiments on the cities of Zurich and Bern simulating different dropout mechanisms and dropout rates and show the adequacy of the applied method. Our modeling technique is at present part of a business solution for the Swiss outdoor advertising branch and serves as pricing basis for the majority of Swiss poster locations.
  • Zeitschriftenartikel
    Visual Analytics for Understanding Spatial Situations from Episodic Movement Data
    (KI - Künstliche Intelligenz: Vol. 26, No. 3, 2012) Andrienko, Natalia; Andrienko, Gennady; Stange, Hendrik; Liebig, Thomas; Hecker, Dirk
    Continuing advances in modern data acquisition techniques result in rapidly growing amounts of geo-referenced data about moving objects and in emergence of new data types. We define episodic movement data as a new complex data type to be considered in the research fields relevant to data analysis. In episodic movement data, position measurements may be separated by large time gaps, in which the positions of the moving objects are unknown and cannot be reliably reconstructed. Many of the existing methods for movement analysis are designed for data with fine temporal resolution and cannot be applied to discontinuous trajectories. We present an approach utilising Visual Analytics methods to explore and understand the temporal variation of spatial situations derived from episodic movement data by means of spatio-temporal aggregation. The situations are defined in terms of the presence of moving objects in different places and in terms of flows (collective movements) between the places. The approach, which combines interactive visual displays with clustering of the spatial situations, is presented by example of a real dataset collected by Bluetooth sensors.