Adabi, Seyyed Amir
Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad
[ 1 ] - Outlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means
One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...
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