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    An interactive web-based toolset for knowledge discovery from short text log data

    Access Status
    Fulltext not available
    Authors
    Stewart, M.
    Liu, W.
    Cardell-Oliver, R.
    Griffin, Mark
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Stewart, M. and Liu, W. and Cardell-Oliver, R. and Griffin, M. 2017. An interactive web-based toolset for knowledge discovery from short text log data, International Conference on Advanced Data Mining and Applications, pp. 853-858: Springer.
    Source Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Source Conference
    International Conference on Advanced Data Mining and Applications
    DOI
    10.1007/978-3-319-69179-4_61
    ISBN
    978-3-319-69178-7
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/68738
    Collection
    • Curtin Research Publications
    Abstract

    © Springer International Publishing AG 2017. Many companies maintain human-written logs to capture data on events such as workplace incidents and equipment failures. However, the sheer volume and unstructured nature of this data prevent it from being utilised for knowledge acquisition. Our web-based prototype software system provides a cohesive computational methodology for analysing and visualising log data that requires minimal human involvement. It features an interface to support customisable, modularised log data processing and knowledge discovery. This enables owners of event-based datasets containing short textual descriptions, such as occupational health & safety officers and machine operators, to identify latent knowledge not previously acquirable without significant time and effort. The software system comprises five distinct stages, corresponding to standard data mining milestones: exploratory analysis, data warehousing, association rule mining, entity clustering, and predictive analysis. To the best of our knowledge, it is the first dedicated system to computationally analyse short text log data and provides a powerful interface that visualises the analytical results and supports human interaction.

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