Rule-Based classification for a case-based system

Riitta Penttinen, Pekka Ala-Siuru, Johan Plomp, Jari Vormisto

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


    We introduce an architecture for combining rule-based and case-based reasoning in the field of telecommunication network alarm handling. With this approach it is possible to handle alarms from different generations of network equipment or from equipment of different vendors. The architecture consists of: 1) Rule-Based reasoning (RBR) for the pre-processing of alarms and messages, 2) Case-Based reasoning (CBR) to find previous failure cases among the pre-processed alarms and messages and 3) fault diagnosis which is based on these two earlier parts. The alarms and messages are classified into basic classes during the pre-processing phase, in order to avoid dependency on equipment generations and vendors. The CBR part finds new failure cases among incoming alarms and messages based on certain rules.
    Original languageEnglish
    Title of host publicationSTeP 2000 - millennium of artificial intelligence: 'AI of today'
    Subtitle of host publicationSymposium on applications
    EditorsHeikki Hyötyniemi
    PublisherFinnish Artificial Intelligence Society FAIS
    ISBN (Print)951-22-5128-0
    Publication statusPublished - 2000
    MoE publication typeA4 Article in a conference publication
    Event9th Finnish Artificial Intelligence Conference : Millennium of Artificial Intelligence - Espoo, Finland
    Duration: 28 Aug 200030 Aug 2000
    Conference number: 9

    Publication series

    SeriesPublications of Finnish Society of Information Processing Science


    Conference9th Finnish Artificial Intelligence Conference
    Abbreviated titleSTeP 2000


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