Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Prototype-based classification
Applied Intelligence
On Applying Dimension Reduction for Multi-labeled Problems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
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Tuning parameters is essential for the results of the welding process. In order to optimize the tuning process of welding parameters, we propose a system based on historical data of laser welding machines. On a given combination of materials, the system extracts patterns dynamically and classifies new cases with a relative accuracy, which depends on the selected data set. The analysis of the generated patterns helps decision makers to visualize important features in large databases and therefore, achieve optimal results.