An Efficient Method for Mining Event-Related Potential Patterns
Seyed Aliakbar Mousavi, Muhammad Arshad, Hasimah Hj Mohamed, Saleh Ali Alomari · arXiv (Cornell University) · 2012
In the present paper, we propose a Neuroelectromagnetic Ontology Framework (NOF) for mining Event-related Potentials (ERP) patterns as well as the process. The aim for this research is to develop an infrastructure for mining, analysis and sharing the ERP domain ontologies. The outcome of this research is a Neuroelectromagnetic knowledge-based system. The framework has 5 stages: 1) Data pre-processing and preparation; 2) Data mining application; 3) Rule Comparison and Evaluation; 4) Association rules Post-processing 5) Domain Ontologies. In 5th stage a new set of hidden rules can be discovered base on comparing association rules by domain ontologies and expert rules.