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2005
Preparing a dataset is a very important step in data mining. If the input to the process contains problems, noise, or errors, then the results will reflect this, as well. Not all possible combinations of the data should exist, as the data represent real-world observations. Correlation is expected among the variables.
openaire +1 more source
Preparing a dataset is a very important step in data mining. If the input to the process contains problems, noise, or errors, then the results will reflect this, as well. Not all possible combinations of the data should exist, as the data represent real-world observations. Correlation is expected among the variables.
openaire +1 more source
A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022Angel Conde, Jose A A Lozano
exaly
CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
Multimedia Tools and Applications, 2021Waseem Ullah, , Khan Muhammad
exaly
Graph based anomaly detection and description: a survey
Data Mining and Knowledge Discovery, 2015Hanghang Tong, Danai Koutra
exaly
A survey of deep learning-based network anomaly detection
Cluster Computing, 2019Kuinam J Kim, Jinoh Kim
exaly