Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

Research output: Contribution to journalArticle

Authors

Institutes & Expert groups

  • Southwest Jiaotong University
  • UGent - Universiteit Gent

Documents & links

Abstract

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.

Details

Original languageEnglish
Pages (from-to)325-344
Number of pages20
JournalJournal of Global Optimization
Volume51
DOIs
Publication statusPublished - 2011

Keywords

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

ID: 6871796