Pattern mining for knowledge discovery
Carson Kai-Sang Leung · 2019
Pattern mining aims to discover from data the implicit, previously unknown and potentially useful information and knowledge in the form of patterns. Over the past 20 years, numerous pattern mining algorithms have been proposed. They focused on algorithmic efficiency, functionalities, and other aspects. These algorithms have been applied to various real-life applications running in serial, parallel, and/or high-performing computing environments. In this paper, we review many existing pattern mining algorithms and suggest some pattern mining algorithms---especially, hybrid vertical frequent pattern mining running in serial, parallel, high-performing computing, and/or edge/fog environments---to discover knowledge from dataset.