Pattern detection is a research area that involves identifying recurring patterns or structures within datasets or systems. This can be applied to various fields such as data analysis, image recognition, and natural language processing. The goal of pattern detection is to extract meaningful information from complex data in order to make predictions, classify information, or gain insights into underlying relationships. Techniques used in pattern detection include machine learning algorithms, statistical analysis, and data mining.