PPMT

Main illustration for

Progressive Pattern Mining Tool (2017-)

Progressive pattern mining on sequential traces

PPMT is a tool build during Vincent Raveneau PhD thesis. It allows to load a dataset of multiples users traces composed of sequential events, and perform visual analytics by analyzing the patterns extracted by a pattern mining algorithm. The visual analysis is progressive, meaning that patterns are visualized as soon as they are computed, and the user can interact at any moment with the patterns and the algorithm, as well as integrate results within the data.

PPMT main interface