IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Evaluation of Corporate Environmental Reports Using Data Mining Approach
ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02
Data analysis, visualization and knowledge discovery in sustainable data centers
Proceedings of the 2nd Bangalore Annual Compute Conference
TACO-miner: An ant colony based algorithm for rule extraction from trained neural networks
Expert Systems with Applications: An International Journal
Training neural networks with harmony search algorithms for classification problems
Engineering Applications of Artificial Intelligence
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
Expert Systems with Applications: An International Journal
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In this paper a data mining based case study is carried out in a major textile company in Turkey in order to classify and analyze the defect factors in their fabric production process. It is aimed to understand the causes of the defects in order to minimize their occurrence. The main motivation behind this study is to minimize scrap loses in the company and enabling more sustainable production via data mining. In the analyses, a data mining tool (DIFACONN-miner) that was recently developed by authors is employed. DIFACONN-miner is a novel data mining tool which combines several metaheuristics and artificial neural networks intelligently and it is capable of producing comprehensive classification rules from any data type.