Rare events and imbalanced datasets: An overview

Maher Maalouf, Theodore B. Trafalis

    Research output: Contribution to journalReview articlepeer-review

    18 Scopus citations

    Abstract

    Accurate prediction is important in data mining and data classification. Rare events data, imbalanced or skewed datasets are very important in data mining and classification. However, These types of data are difficult to predict and to explain as has been demonstrated in the literature. The problems arise from various sources. This paper surveys the latest research on such data in the hope of adding further contribution to this important field of data mining.

    Original languageBritish English
    Pages (from-to)375-388
    Number of pages14
    JournalInternational Journal of Data Mining, Modelling and Management
    Volume3
    Issue number4
    DOIs
    StatePublished - Oct 2011

    Keywords

    • Classification
    • Data mining
    • Imbalanced data
    • Rare events

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