Anomaly detection optimization using big data and deep learning to reduce false-positive.
Khloud Al JalladMohamad AljnidiMohammad Said DesoukiPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- false positives
- big data
- deep learning
- unsupervised learning
- false negative
- intrusion detection
- cloud computing
- detection rate
- false positive rate
- social media
- data processing
- intrusion detection system
- data management
- data analysis
- business intelligence
- machine learning
- supervised learning
- knowledge discovery
- detect anomalies
- weakly supervised
- data warehousing
- text classification
- text mining
- pattern recognition
- computer vision
- learning algorithm