ADS(Anomalies Detection System) system has many applications in the business, from intrusion detection i.e. identification of strange patterns in network traffic that could indicate a hack, to a system or health monitoring (detection of a malignant tumor in an MRI) and fraud detection in credit card transactions detection in operating environments.
An anomaly can be defined as the unexpected pattern present in a large data set. And, the process of tracking out these unexpected patterns from the large data set is known as the anomaly detection. Therefore, an ADS system can detect several hundred types of business incidents today, as well as the interactions between the metrics that contribute to the incidents, your knowledge base will grow, and also your ability to detect even more incidents in the future. The idea of developing such a system was the result of long discussions on the client side, focusing on the various challenges and demands that several companies face. They really wanted a defect detection system that would help them deal with some challenges and variable patterns that are difficult to identify for the same, in such conditions the solutions based on machine learning are available to provide an idea of the problem.
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