Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

Authors:
Dun Liu;Tianrui Li;Da Ruan;Junbo Zhang
Affiliations:
School of Economics and Management, Southwest Jiaotong University, Chengdu, People's Republic of China 610031;School of Information Science and Technology, Southwest Jiaotong University, Chengdu, People's Republic of China 610031;Belgian Nuclear Research Centre (SCK·CEN), Mol, Belgium 2400 and Department of Applied Mathematics & Computer Science, Ghent University, Ghent, Belgium 9000;School of Information Science and Technology, Southwest Jiaotong University, Chengdu, People's Republic of China 610031
Venue:
Journal of Global Optimization
Year:
2011

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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.