CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction
Abstract— CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction. High utility sequential pattern mining has been considered as an important research problem and a number of relevant algorithms have been proposed for this topic. The main challenge of high utility sequential pattern mining is that, the search space is large and the efﬁciency of the solutions is directly affected by the degree at which they can eliminate the candidate patterns. Therefore, the efﬁciency of any high utility < Final Year Projects 2016 > sequential pattern mining solution depends on its ability to reduce this big search space, and as a result, lower the computational complexity of calculating the utilities of the candidate patterns.