Description: Novelty detection is a type of anomaly detection that focuses on identifying new or rare patterns in data. Unlike other methods that may focus on detecting deviations from a previously established normal behavior, novelty detection seeks to recognize situations or behaviors that have not been observed before. This approach is particularly useful in environments where data is constantly evolving and where new trends or behaviors may arise unexpectedly. Novelty detection relies on machine learning algorithms that analyze large volumes of data, learning from them to identify patterns that may not be immediately obvious. This enables organizations to quickly adapt to changes in consumer behavior, information security, or industrial production, among others. The ability to detect novelty is crucial in a world where information is generated at an accelerated pace and where agility in decision-making can make the difference between success and failure.
