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@INPROCEEDINGS{kruse_temporal_2010,
        author = {Kruse, Rudolf and Steinbrecher, Matthias and Moewes, Christian},
      keywords = {Automobile Industry, Pattern Recognition, Visual Data Analysis},
         month = sep,
         title = {Temporal Pattern Mining},
     booktitle = {Proceedings of the International Conference on Signals and Electronic Systems (ICSES 2010)},
          year = {2010},
         pages = {3--8},
     publisher = {IEEE Press},
      location = {Gliwice, Poland},
  organization = {Institute of Electronics, Silesian University of Technology},
       address = {Piscataway, NJ, USA},
          isbn = {978-1-4244-5307-8},
           url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5595268},
      abstract = {Data analysis has become an integral part in many economic fields. In this paper, we present several real-world applications occurring in the fields of automobile development and manufacturing, finance, and online communities. The given examples share one aspect in common: time. It is not only the fact to find patterns inside data volumes but also to identify them based on their temporal behaviour. We will give examples of dealing with different models of incorporating the temporal aspects. Furthermore some new results in the area of Visual Data Analysis are presented. These methods offer intuitive methods of guiding the user through the process of data and model inspection and assist in drawing conclusions with the help of meaningful graphical representations.}
}