Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

Research output: Contribution to journalArticlepeer-review


Institutes & Expert groups

  • Southwest Jiaotong University
  • UGent - Universiteit Gent

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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
Publication statusPublished - 2011


  • Rough set theory, Incremental learning, Accuracy, Coverage, Interesting knowledge, Business information, Optimization

ID: 6871796