Detecting anomaly in big data system logs using convolutional neural network
Nowadays, big data systems are being widely adopted by many domains for offering
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …
Discrimination of missing data types in metabolomics data based on particle swarm optimization algorithm and XGBoost model
Y Yuan, J Du, J Luo, Y Zhu, Q Huang, M Zhang - Scientific Reports, 2024 - nature.com
In the field of data analysis, it is often faced with a large number of missing values, especially
in metabolomics data, this problem is more prominent. Data imputation is a common method …
in metabolomics data, this problem is more prominent. Data imputation is a common method …
Intelligent Construction of E-commerce Product Traceability System Based on Big Data Mining
D Mu, P Song - 2023 International Conference on Computers …, 2023 - ieeexplore.ieee.org
With the development of network technology and information technology, the Internet has
inexorably entered people's life, and changed people's way of life. However, due to the …
inexorably entered people's life, and changed people's way of life. However, due to the …
Detecting Anomalies From Big Data System Logs
S Lu - 2019 - stars.library.ucf.edu
Nowadays, big data systems (eg, Hadoop and Spark) are being widely adopted by many
domains for offering effective data solutions, such as manufacturing, healthcare, education …
domains for offering effective data solutions, such as manufacturing, healthcare, education …