Similarity Discovery Techniques in Temporal Data Mining

作者: Ding PAN

DOI: 10.1360/JOS180246

关键词:

摘要: … 用字符串表示时间序列的方法已有多种:① 聚类变换方法[19],先由滑动窗口获得子序列集合,再对子序列 聚类,并指定相应类符号表示,序列就由这些类符号构成;② 分段划分方法[20],将两点之间…

参考文章(66)
Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao, Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach Data Mining and Knowledge Discovery. ,vol. 8, pp. 53- 87 ,(2004) , 10.1023/B:DAMI.0000005258.31418.83
J.F. Roddick, M. Spiliopoulou, A survey of temporal knowledge discovery paradigms and methods IEEE Transactions on Knowledge and Data Engineering. ,vol. 14, pp. 750- 767 ,(2002) , 10.1109/TKDE.2002.1019212
Christos Faloutsos, M. Ranganathan, Yannis Manolopoulos, Fast subsequence matching in time-series databases Proceedings of the 1994 ACM SIGMOD international conference on Management of data - SIGMOD '94. ,vol. 23, pp. 419- 429 ,(1994) , 10.1145/191839.191925
R.J. Povinelli, Xin Feng, A new temporal pattern identification method for characterization and prediction of complex time series events IEEE Transactions on Knowledge and Data Engineering. ,vol. 15, pp. 339- 352 ,(2003) , 10.1109/TKDE.2003.1185838
Yimin Xiong, Dit-Yan Yeung, Time Series Clustering with ARMA Mixtures Pattern Recognition. ,vol. 37, pp. 1675- 1689 ,(2004) , 10.1016/J.PATCOG.2003.12.018
Padhraic Smyth, Clustering Sequences with Hidden Markov Models neural information processing systems. ,vol. 9, pp. 648- 654 ,(1996)
I. Popivanov, R.J. Miller, Similarity search over time-series data using wavelets international conference on data engineering. pp. 212- 221 ,(2002) , 10.1109/ICDE.2002.994711
C. Lee Giles, Steve Lawrence, Ah Chung Tsoi, Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference Machine Learning. ,vol. 44, pp. 161- 183 ,(2001) , 10.1023/A:1010884214864
Yingjiu Li, Peng Ning, X.Sean Wang, Sushil Jajodia, Discovering calendar-based temporal association rules data and knowledge engineering. ,vol. 44, pp. 193- 218 ,(2003) , 10.1016/S0169-023X(02)00135-0
Jian Pei, Jiawei Han, B. Mortazavi-Asl, H. Pinto, Qiming Chen, U. Dayal, Mei-Chun Hsu, PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth international conference on data engineering. pp. 215- 224 ,(2001) , 10.1109/ICDE.2001.914830