Abstract: As an important branch of data mining, sequential patterns mining has been extensively studied. Based on sequential patterns mining, Structural Relation Patterns (SRPs) mining is proposed ...

Abstract: Sequential pattern mining algorithms provide better performance for short sequences but are inefficient at mining long sequences. To mine long sequences efficiently mining of closed ...

Online learning is playing an increasingly important role in education. Massive open online course (MOOC) platforms are among the most important tools in online learning, and record historical ...

1 AI Center of Excellence, Fidelity Investments, Boston, MA, United States 2 Department of Computer Science, Brown University, Providence, RI, United States Sequential pattern mining remains a ...

ProMiSe is an algorithm for identifying significant sequential patterns with guarantees on the probability of reporting at least one false discoveries. It employs the Westfall-Young method to correct ...

The authors provide a valuable analysis of what neural circuit mechanisms enable varying the speed of retrieval of sequences, which is needed in situations such as reproducing motor patterns. Their ...

Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in ...