Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints
Abstract Pattern mining is a powerful tool for analysing big datasets. Temporal datasets include time as an additional parameter. This leads to complexity in algorithmic formulation, and it can be challenging to process such data quickly and efficiently. In addition, errors or uncertainty can exist...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-05-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-019-0200-9 |