Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery groups the computing pioneers in this atlas whose central, explicitly stated contribution concerns finding patterns, associations, and useful structure in large datasets rather than storing or retrieving them directly. Members range from the developers of foundational association-rule mining algorithms cited tens of thousands of times, through researchers who applied mining techniques to streams, networks, text, and multimedia, and figures who pioneered crowdsourcing and human computation as a data source for mining and machine learning tasks. It sits downstream of the database systems most of its members were trained in, turning stored data into discovered patterns rather than just storing or answering queries against it.