Distance Metric Learning for Conditional Anomaly Detection

Conditional anomaly detection methods for patient-management alert systems.

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly detection to the problem of identifying anomalous patterns on a subset of attributes in the data. The anomaly always depends (is conditioned) on the value of remaining attributes. The work presented in this paper focuses...

ADAPTIVE GRAPH-BASED ALGORITHMS FOR CONDITIONAL ANOMALY DETECTION AND SEMI-SUPERVISED LEARNING by

یادگیری نیمه نظارتی کرنل مرکب با استفاده از تکنیک‌های یادگیری معیار فاصله

Distance metric has a key role in many machine learning and computer vision algorithms so that choosing an appropriate distance metric has a direct effect on the performance of such algorithms. Recently, distance metric learning using labeled data or other available supervisory information has become a very active research area in machine learning applications. Studies in this area have shown t...

Statistical Anomaly Detection Technique for Real Time Datasets

Data mining is the technique of discovering patterns among data to analyze patterns or decision making predictions. Anomaly detection is the technique of identifying occurrences that deviate immensely from the large amount of data samples. Advances in computing generates large amount of data from different sources, which is very difficult to apply machine learning techniques due to existence of...

Detection of Peculiar Word Sense by Distance Metric Learning with Labeled Examples

For natural language processing on machines, resolving such peculiar usages would be particularly useful in constructing a dictionary and dataset for word sense disambiguation. Hence, it is necessary to develop a method to detect such peculiar examples of a target word from a corpus. Note that, hereinafter, we define a peculiar example as an instance in which the target word or phrase has a new...