Advances in pattern mining

MLG+INGI Seminar

Event Speaker: Siegfried Nijssen
Event Place: Paul Otlet Seminar Room
Event Date: 11/18/2015 - 11:0

Pattern mining algorithms are algorithms that search for patterns in large collections of data. While initially developed for the discovery of frequently occurring structures in binary databases, nowadays they can be applied on many types of data: on graph databases, numerical databases, sequence databases, time series and heterogeneous databases; they can not only find frequent structures, but also identify interesting subgroups, accurate classifiers and good clusterings. While initially difficult to use, recent developments have simplified their use significantly. In this talk, I will provide an overview of these advances in pattern mining.