Follow
Jessica Lin
Title
Cited by
Cited by
Year
A symbolic representation of time series, with implications for streaming algorithms
J Lin, E Keogh, S Lonardi, B Chiu
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003
25922003
Experiencing SAX: a novel symbolic representation of time series
J Lin, E Keogh, L Wei, S Lonardi
Data Mining and knowledge discovery 15, 107-144, 2007
18632007
Hot sax: Efficiently finding the most unusual time series subsequence
E Keogh, J Lin, A Fu
Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005
10322005
Clustering of time-series subsequences is meaningless: implications for previous and future research
E Keogh, J Lin
Knowledge and information systems 8, 154-177, 2005
8132005
Rotation-invariant similarity in time series using bag-of-patterns representation
J Lin, R Khade, Y Li
Journal of Intelligent Information Systems 39, 287-315, 2012
3502012
Mining motifs in massive time series databases
P Patel, E Keogh, J Lin, S Lonardi
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 370-377, 2002
3352002
Finding the most unusual time series subsequence: algorithms and applications
E Keogh, J Lin, SH Lee, HV Herle
Knowledge and Information Systems 11, 1-27, 2007
2772007
Iterative incremental clustering of time series
J Lin, M Vlachos, E Keogh, D Gunopulos
Advances in Database Technology-EDBT 2004: 9th International Conference on …, 2004
2732004
Mining time series data
CA Ralanamahatana, J Lin, D Gunopulos, E Keogh, M Vlachos, G Das
Data mining and knowledge discovery handbook, 1069-1103, 2005
2552005
A waveletbased anytime algorithm for k-means clustering of time series
M Vlachos, J Lin, E Keogh, D Gunopulos
Workshop on Clustering High Dimensionality Data and Its Applications, at the …, 2003
2342003
Visually mining and monitoring massive time series
J Lin, E Keogh, S Lonardi, JP Lankford, DM Nystrom
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
2222004
Visualizing and discovering non-trivial patterns in large time series databases
J Lin, E Keogh, S Lonardi
Information visualization 4 (2), 61-82, 2005
1822005
Approximations to magic: Finding unusual medical time series
J Lin, E Keogh, A Fu, H Van Herle
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 329-334, 2005
1812005
Finding structural similarity in time series data using bag-of-patterns representation
J Lin, Y Li
Scientific and Statistical Database Management: 21st International …, 2009
1752009
Tapnet: Multivariate time series classification with attentional prototypical network
X Zhang, Y Gao, J Lin, CT Lu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6845-6852, 2020
1352020
Finding unusual medical time-series subsequences: Algorithms and applications
E Keogh, J Lin, AW Fu, H Van Herle
IEEE Transactions on Information Technology in Biomedicine 10 (3), 429-439, 2006
1092006
Dimensionality reduction by random projection and latent semantic indexing
J Lin, D Gunopulos
proceedings of the Text Mining Workshop, at the 3rd SIAM International …, 2003
1082003
Grammarviz 2.0: a tool for grammar-based pattern discovery in time series
P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
1012014
Visualizing variable-length time series motifs
Y Li, J Lin, T Oates
Proceedings of the 2012 SIAM international conference on data mining, 895-906, 2012
972012
Time series anomaly discovery with grammar-based compression.
P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ...
Edbt, 481-492, 2015
962015
The system can't perform the operation now. Try again later.
Articles 1–20