Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation

Abstract

Ability to monitor and detect abnormalities accurately is important in a manufacturing process. This can be achieved by recognizing abnormalities in its control charts. This work is concerned with classification of control chart patterns (CCPs) by utilizing a technique known as Symbolic Aggregate Approximation (SAX) and an evolutionary based data mining… (More)
DOI: 10.1109/ICTAI.2011.178

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@article{Lavangnananda2011CapabilityOC, title={Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation}, author={Kittichai Lavangnananda and Pantharee Sawasdimongkol}, journal={2011 IEEE 23rd International Conference on Tools with Artificial Intelligence}, year={2011}, pages={1047-1052} }