Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

Dun Liu, Tianrui Li, Da Ruan, Junbo Zhang

    Research outputpeer-review


    As business information quickly varies with time, the extraction of knowledge from the related dynamically changing database is vital for business decision making. For an incremental learning optimization on knowledge discovery, a new incremental matrix describes the changes of the system. An optimization incremental algorithm induces interesting knowledge when the object set varies over time. Experimental results validate the feasibility of the incremental learning optimization.
    Original languageEnglish
    Pages (from-to)325-344
    Number of pages20
    JournalJournal of Global Optimization
    StatePublished - 2011

    Cite this