Jessica Lin
TitleCited byYear
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
18032003
Experiencing SAX: a novel symbolic representation of time series
J Lin, E Keogh, L Wei, S Lonardi
Data Mining and knowledge discovery 15 (2), 107-144, 2007
11342007
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
6972005
Clustering of time-series subsequences is meaningless: implications for previous and future research
E Keogh, J Lin
Knowledge and information systems 8 (2), 154-177, 2005
5832005
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
2322002
Iterative incremental clustering of time series
J Lin, M Vlachos, E Keogh, D Gunopulos
International Conference on Extending Database Technology, 106-122, 2004
2002004
Rotation-invariant similarity in time series using bag-of-patterns representation
J Lin, R Khade, Y Li
Journal of Intelligent Information Systems 39 (2), 287-315, 2012
1912012
Finding the most unusual time series subsequence: algorithms and applications
E Keogh, J Lin, SH Lee, H Van Herle
Knowledge and Information Systems 11 (1), 1-27, 2007
1882007
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
1772004
A wavelet-based anytime algorithm for k-means clustering of time series
M Vlachos, J Lin, E Keogh, D Gunopulos
In proc. workshop on clustering high dimensionality data and its applications, 2003
1772003
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
1712005
Visualizing and discovering non-trivial patterns in large time series databases
J Lin, E Keogh, S Lonardi
Information visualization 4 (2), 61-82, 2005
1482005
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
1142005
Finding structural similarity in time series data using bag-of-patterns representation
J Lin, Y Li
International conference on scientific and statistical database management …, 2009
1112009
Sonic hedgehog signaling pathway in vertebrate epithelial appendage morphogenesis: perspectives in development and evolution
CM Chuong, N Patel, J Lin, HS Jung, RB Widelitz
Cellular and Molecular Life Sciences CMLS 57 (12), 1672-1681, 2000
1082000
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
902003
Finding unusual medical time-series subsequences: Algorithms and applications
E Keogh, J Lin, AW Fu, H VanHerle
IEEE Transactions on Information Technology in Biomedicine 10 (3), 429-439, 2006
812006
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
752012
Finding time series discords based on haar transform
AWC Fu, OTW Leung, E Keogh, J Lin
International Conference on Advanced Data Mining and Applications, 31-41, 2006
672006
Clustering of streaming time series is meaningless
J Lin, E Keogh, W Truppel
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003
672003
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Articles 1–20