Intelligent cluster algorithms for changing data structures. (22nd September 2009)

• Record Type: Journal Article
• Authors: Peters, Georg; Weber, Richard
• Is Part Of: International journal of intelligent defence support systems. Volume 2:Number 2(2009)
• Page Start: 105
• Page End: 119
• Publication Date: 2009-09-22
• Subjects: dynamic data mining -- clustering algorithms -- moving clusters -- rough sets -- data structures; Artificial intelligence -- Military applications -- Periodicals; Cybernetics -- Periodicals; Experimental design -- Periodicals; 623.028563
• Languages: English
• ISSNs: 1755-1587

Abstract

Many real life applications are characterised by changing data structures. For example, the buying patterns of retail customers may change due to changing economical parameters (increasing oil prices motivate to buy smaller cars) or a technological break-through (replacement of analogue by digital cameras). In such dynamic environments the parameters obtained in data mining projects need to be updated to adequately describe the actual real life situation. Dynamic data mining addresses such situations. It has been applied successfully in many projects, like in traffic data analysis. In our paper, we apply the concepts of dynamic data mining to rough k-means.