Knowledge Management Challenges in Knowledge Discovery Systems

M. Pechenizkiy, A. Tsymbal, S. Puuronen
16th International Workshop on Database and Expert Systems Applications (DEXA'05)  
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting the most appropriate technique(s) for a problem at hand, since in the real domain area it is infeasible to perform a comparison of all applicable techniques. The main goal of this paper is to consider the limitations of datadriven approaches and propose a knowledge-driven approach to enhance the use of multiple
more » ... f multiple data-mining strategies in a knowledge discovery system. We introduce the concept of (meta-) knowledge management, which is aimed to organize a systematic process of (meta-) knowledge capture and refinement over time.
doi:10.1109/dexa.2005.124 dblp:conf/dexaw/PechenizkiyTP05 fatcat:hl2vqqhpirfvvdawjnzs36n3xq