Lin, J., Keogh, E., Patel, P., Lonardi, S.: Finding Motifs in Time Series. In: The 2nd Workshop on Temporal Data Mining, the 8th ACM Int’l Conference on KDD, pp. 53–68 (2002)
Google Scholar
Keogh, E., Lin, J., Fu, A.: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. In: Proc. ICDM, pp. 226–233 (2005)
Google Scholar
Patel, P., Keogh, E., Lin, J., Lonardi, S.: Mining Motifs in Massive Time Series Databases. In: Proc. ICDM (2002)
Google Scholar
Chandola, V., Cheboli, D., Kumar, V.: Detecting Anomalies in a Time Series Database. CS Technical Report 09–004 (2009)
Google Scholar
Li, Y., Lin, J., Oates, T.: Visualizing variable-length time series motifs. In: Proc. of the 2012 SIAM International Conference on Data Mining, pp. 895–906 (2012)
Google Scholar
Senin, P., Lin, J., Wang, X., Oates, T., Boedihardjo, A.P., Chen, C., Frankenstein, S., Gandhi, S.: Grammar-driven anomaly discovery in time series. CSDL Techreport 14-05 (2014)
Google Scholar
Nevill-Manning, C., Witten, I.: Identifying Hierarchical Structure in Sequences: A linear-time algorithm. Journal of Artificial Intelligence Research 7, 67–82 (1997)
MATH
Google Scholar
Paper authors. Supporting webpage:
https://code.google.com/p/jmotif/
Lin, J., Keogh, E., Lonardi, S., Lankford, J., Nystrom, D.: Visually mining and monitoring massive time series. In: Proc. 10th ACM SIGKDD Intl. Conf. on KDD, pp. 460–469 (2004)
Google Scholar
Hao, M., Marwah, M., Janetzko, H., Dayal, U., Keim, D., Patnaik, D., Ramakrishnan, N., Sharma, R.K.: Visual Exploration of Frequent Patterns in Multivariate Time Series. Information Visualization 11(1), 71–83 (2012)
CrossRef
Google Scholar
Oates, T., Boedihardjo, A., Lin, J., Chen, C., Frankenstein, S., Gandhi, S.: Motif discovery in spatial trajectories using grammar inference. In: Proc. of ACM Intl. Conf. on Information and Knowledge Management, CIKM (2013)
Google Scholar