Machine Learning Techniques for Anomalies Detection and Classification.
Amira Sayed Abdel-AzizAboul Ella HassanienAhmad Taher AzarSanaa El-Ola HanafiPublished in: SecNet (2013)
Keyphrases
- anomaly detection
- machine learning
- machine learning methods
- machine learning algorithms
- pattern recognition
- classification scheme
- classification accuracy
- support vector
- microcalcification clusters
- robust detection
- automatic classification
- classification method
- decision rules
- feature extraction
- feature vectors
- classification process
- machine learning approaches
- classification rate
- detection rate
- spam detection
- classification algorithm
- text classification
- feature selection
- object detection
- detection accuracy
- image classification
- neyman pearson
- mammogram images
- digital mammograms
- feature extraction and classification
- unsupervised learning
- detection method
- face detection
- support vector machine
- supervised learning
- classification rules
- computer vision
- multi class
- data sets