Open AccessOutlier Detection in High Dimensional Data
Author(s) -
L Anusha,
G S Nagaraja
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2675.0610521
Subject(s) - artificial intelligence , autoencoder , computer science , anomaly detection , deep learning , machine learning , field (mathematics) , unsupervised learning , artificial neural network , task (project management) , outlier , robotics , pattern recognition (psychology) , robot , engineering , mathematics , systems engineering , pure mathematics
Artificial intelligence (AI) is the science that allowscomputers to replicate human intelligence in areas such asdecision-making, text processing, visual perception. ArtificialIntelligence is the broader field that contains several subfieldssuch as machine learning, robotics, and computer vision.Machine Learning is a branch of Artificial Intelligence thatallows a machine to learn and improve at a task over time. DeepLearning is a subset of machine learning that makes use of deepartificial neural networks for training. The paper proposed onoutlier detection for multivariate high dimensional data forAutoencoder unsupervised model.