A novel decision support model to discover the interesting pattern in football match
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Generating time series reference models based on event analysis
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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Time series are the important type of data in the world, and time series data mining is one of the most important subfields of data mining. In this paper we propose a model of temporal pattern discovery from multiple time series based on temporal logic. Firstly, multiple time series are transform to multiple event sequences, and then they are synthesized into one event sequence. Secondly, we generate the observation sequence to mining the temporal pattern and the rules based on the interval temporal logic. The algorithm is proposed to mining online frequent episodes and mining change of patterns on mass event sequences. Finally, efficiency of the model and the algorithm is proved through experiments.