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...

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Bibliographic Details
Main Authors: Sofya S. Titarenko, Valeriy N. Titarenko, Georgios Aivaliotis, Jan Palczewski
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:Journal of Big Data
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40537-019-0200-9