Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Novelty detection is the identification of new or unknown data or signals that a machine learning system is not aware of during training. Novelty detection is one-class classification. The known data form one class, and a novelty-detection method tries to identify outliers that dif ...Full description
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Novelty detection is the identification of new or unknown data or signals that a machine learning system is not aware of during training. Novelty detection is one-class classification. The known data form one class, and a novelty-detection method tries to identify outliers that differ from the distribution of ordinary data, which formed the single data class. Compared to multi-class classification, one-class classification is useful if outliers are sparse compared to ordinary data.