Pattern recognition is a core task in data mining that involves identifying meaningful patterns in datasets. For example, statistical methods can be used to recognize patterns in healthcare data, such as correlations between variables like symptoms and diseases. Other students' projects could potentially identify additional patterns through further analysis of their datasets.