@inproceedings{12c40a1c0cc848bbab13bc556d1b725a,
title = "An asynchronous periodic sequential patterns mining algorithm with multiple minimum item supports",
abstract = "Original sequential pattern mining model only considers occurrence frequentness of sequential patterns, disregards their occurrence periodicity. We propose the asynchronous periodic sequential pattern mining model to discover the sequential patterns which are not only occurring frequently, but also appearing periodically. For this mining model, we propose a pattern-growth mining algorithm to mine asynchronous periodic sequential patterns with multiple minimum item supports. This algorithm employs a dividing and rule method to mine asynchronous periodic sequential pattern recursively and depth first. Experimental results show the efficiency and stability of the algorithm.",
keywords = "asynchronous period, data data mining, multiple minimum item support, sequential pattern",
author = "Xiangzhan Yu and Haining Yu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 9th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2014 ; Conference date: 08-11-2014 Through 10-11-2014",
year = "2014",
month = jan,
day = "27",
doi = "10.1109/3PGCIC.2014.76",
language = "英语",
series = "Proceedings - 2014 9th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "274--281",
editor = "Leonard Barolli and Jin Li and Ogiela, \{Marek R.\} and Fatos Xhafa and Tomoki Yoshihisa",
booktitle = "Proceedings - 2014 9th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2014",
address = "美国",
}