• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 3
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 38 (2019)
    • 38-Issue 3
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Segmentifier: Interactive Refinement of Clickstream Data

    Thumbnail
    View/Open
    v38i3pp623-634.pdf (1.081Mb)
    1269-file1.pdf (5.055Mb)
    1269-file2.mp4 (102.9Mb)
    Date
    2019
    Author
    Dextras-Romagnino, Kimberly
    Munzner, Tamara ORCID
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Clickstream data has the potential to provide insights into e-commerce consumer behavior, but previous techniques fall short of handling the scale and complexity of real-world datasets because they require relatively clean and small input. We present Segmentifier, a novel visual analytics interface that supports an iterative process of refining collections of action sequences into meaningful segments. We present task and data abstractions for clickstream data analysis, leading to a high-level model built around an iterative view-refine-record loop with outcomes of conclude with an answer, export segment for further analysis in downstream tools, or abandon the question for a more fruitful analysis path. Segmentifier supports fast and fluid refinement of segments through tightly coupled visual encoding and interaction with a rich set of views that show evocative derived attributes for segments, sequences, and actions in addition to underlying raw sequences. These views support fast and fluid refinement of segments through filtering and partitioning attribute ranges. Interactive visual queries on custom action sequences are aggregated according to a three-level hierarchy. Segmentifier features a detailed glyph-based visual history of the automatically recorded analysis process showing the provenance of each segment as an analysis path of attribute constraints. We demonstrate the effectiveness of our approach through a usage scenario with real-world data and a case study documenting the insights gained by a corporate e-commerce analyst.
    BibTeX
    @article {10.1111:cgf.13715,
    journal = {Computer Graphics Forum},
    title = {{Segmentifier: Interactive Refinement of Clickstream Data}},
    author = {Dextras-Romagnino, Kimberly and Munzner, Tamara},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13715}
    }
    URI
    https://doi.org/10.1111/cgf.13715
    https://diglib.eg.org:443/handle/10.1111/cgf13715
    Collections
    • 38-Issue 3

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA