Multidimensional sequence visualization on a 2D event to sequence correlation matrix

Anna Sachinopoulou, Panu Korpipää, Jussi Ahola, Jouni Kaartinen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    In this study a 2D event-to-sequence floor matrix visualization method and a tool was developed for visualizing multidimensional sequential patterns. In practice, about 200 sequences can be efficiently displayed at once, and sequences can be as long as 20 nodes. Nodes (e.g., instances in time) may consist of up to 30 events (i.e., transactions). Each event may contain up to 20 attributes, which encode more detailed information about each individual event with colors. The amount of sequences and events is limited by the display resolution, while the number of nodes and attributes is limited by the ability of the human eye in utilising colors in an abstract image. The user can drill down from the initial overview to more detailed views and explore data interactively by using sorting, brushing, zooming and selection functions. Two applications, e-commerce transaction and telecommunication traffic, were used to experiment with the tool. The preliminary results indicate that the tool is useful in revealing hidden relationships in multidimensional sequential data.
    Original languageEnglish
    Title of host publicationVisualization, Imaging, and Image Processing - VIIP 2003
    EditorsM.H. Hamza
    PublisherActa Press
    ISBN (Electronic) 978-0-88986-724-6
    ISBN (Print) 0-88986-382-2
    Publication statusPublished - 2003
    MoE publication typeA4 Article in a conference publication


    • visualization and HMI
    • sequence visualization
    • multidimensional sequences
    • event-to-sequence matrix


    Dive into the research topics of 'Multidimensional sequence visualization on a 2D event to sequence correlation matrix'. Together they form a unique fingerprint.

    Cite this