Mining Temporal Relationships with Multiple Granularities in Time Sequences

作者: Claudio Bettini , Sushil Jajodia , Xiaoyang Sean Wang

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参考文章(9)
Philip Laird, Identifying and Using Patterns in Sequential Data algorithmic learning theory. pp. 1- 18 ,(1993) , 10.1007/3-540-57370-4_33
Claudio Bettini, X. Sean Wang, Sushil Jajodia, A general framework for time granularity and its application to temporal reasoning Annals of Mathematics and Artificial Intelligence. ,vol. 22, pp. 29- 58 ,(1998) , 10.1023/A:1018938007511
X. Sean Wang, Claudio Bettini, Alexander Brodsky, Sushil Jajodia, Logical design for temporal databases with multiple granularities ACM Transactions on Database Systems. ,vol. 22, pp. 115- 170 ,(1997) , 10.1145/249978.249979
R. Agrawal, T. Imielinski, A. Swami, Database mining: a performance perspective IEEE Transactions on Knowledge and Data Engineering. ,vol. 5, pp. 914- 925 ,(1993) , 10.1109/69.250074
Rajeev Alur, David L. Dill, A theory of timed automata Theoretical Computer Science. ,vol. 126, pp. 183- 235 ,(1994) , 10.1016/0304-3975(94)90010-8
C. Bettini, X.S. Wang, S. Jajodia, J.-L. Lin, Discovering frequent event patterns with multiple granularities in time sequences IEEE Transactions on Knowledge and Data Engineering. ,vol. 10, pp. 222- 237 ,(1998) , 10.1109/69.683754
Heikki Mannila, A. Inkeri Verkamo, Hannu Toivonen, Discovering frequent episodes in sequences extended abstract knowledge discovery and data mining. pp. 210- 215 ,(1995)
Jason Tsong-Li Wang, Gung-Wei Chirn, Thomas G. Marr, Bruce Shapiro, Dennis Shasha, Kaizhong Zhang, Combinatorial pattern discovery for scientific data: some preliminary results international conference on management of data. ,vol. 23, pp. 115- 125 ,(1994) , 10.1145/191839.191863
R. Agrawal, R. Srikant, Mining sequential patterns international conference on data engineering. pp. 3- 14 ,(1995) , 10.1109/ICDE.1995.380415