2009 | ||
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30 | Jessica Lin, Yuan Li: Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. SSDBM 2009: 461-477 | |
2008 | ||
29 | Eiman Al-Shammari, Jessica Lin: A novel Arabic lemmatization algorithm. AND 2008: 113-118 | |
28 | Eiman Al-Shammari, Jessica Lin: Towards an error-free Arabic stemming. CIKM-iNEWS 2008: 9-16 | |
27 | Jessica Lin, David Etter, David DeBarr: Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM 2008: 656-667 | |
26 | Jessica Lin, Dominic S. Lee, J. Geoffrey Chase, Geoffrey M. Shaw, Aaron Le Compte, Thomas Lotz, Jason Wong, Timothy Lonergan, Christopher E. Hann: Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care. Computer Methods and Programs in Biomedicine 89(2): 141-152 (2008) | |
25 | Thomas Lotz, J. Geoffrey Chase, Kirsten A. McAuley, Geoffrey M. Shaw, Xing-Wei Wong, Jessica Lin, Aaron Le Compte, Christopher E. Hann, Jim I. Mann: Monte Carlo analysis of a new model-based method for insulin sensitivity testing. Computer Methods and Programs in Biomedicine 89(3): 215-225 (2008) | |
2007 | ||
24 | Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi: Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. 15(2): 107-144 (2007) | |
23 | Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle: Finding the most unusual time series subsequence: algorithms and applications. Knowl. Inf. Syst. 11(1): 1-27 (2007) | |
2006 | ||
22 | Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin: Finding Time Series Discords Based on Haar Transform. ADMA 2006: 31-41 | |
21 | Jessica Lin, Eamonn J. Keogh: Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD 2006: 284-296 | |
20 | J. Geoffrey Chase, Christopher E. Hann, Monique Jackson, Jessica Lin, Thomas Lotz, Xing-Wei Wong, Geoffrey M. Shaw: Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care. Computer Methods and Programs in Biomedicine 82(3): 238-247 (2006) | |
19 | Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle: Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Transactions on Information Technology in Biomedicine 10(3): 429-439 (2006) | |
18 | Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu: Efficient Discovery of Unusual Patterns in Time Series. New Generation Comput. 25(1): 61-93 (2006) | |
2005 | ||
17 | Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle: Approximations to Magic: Finding Unusual Medical Time Series. CBMS 2005: 329-334 | |
16 | Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM 2005: 226-233 | |
15 | Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le: A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD 2005: 333-342 | |
14 | Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das: Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103 | |
13 | Christopher E. Hann, J. Geoffrey Chase, Jessica Lin, Thomas Lotz, Carmen V. Doran, Geoffrey M. Shaw: Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model. Computer Methods and Programs in Biomedicine 77(3): 259-270 (2005) | |
12 | J. Geoffrey Chase, Geoffrey M. Shaw, Jessica Lin, Carmen V. Doran, Maxim Bloomfield, Graeme C. Wake, Bob Broughton, Christopher E. Hann, Thomas Lotz: Impact of insulin-stimulated glucose removal saturation on dynamic modelling and control of hyperglycaemia. IJISTA 1(1/2): 79-94 (2005) | |
11 | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi: Visualizing and discovering non-trivial patterns in large time series databases. Information Visualization 4(2): 61-82 (2005) | |
10 | Eamonn J. Keogh, Jessica Lin: Clustering of time-series subsequences is meaningless: implications for previous and future research. Knowl. Inf. Syst. 8(2): 154-177 (2005) | |
2004 | ||
9 | Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu: We Have Seen the Future, and It Is Symbolic. ACSW Frontiers 2004: 83 | |
8 | Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos: Iterative Incremental Clustering of Time Series. EDBT 2004: 106-122 | |
7 | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom: Visually mining and monitoring massive time series. KDD 2004: 460-469 | |
6 | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom: VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. VLDB 2004: 1269-1272 | |
2003 | ||
5 | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu: A symbolic representation of time series, with implications for streaming algorithms. DMKD 2003: 2-11 | |
4 | Jessica Lin, Eamonn J. Keogh, Wagner Truppel: Clustering of streaming time series is meaningless. DMKD 2003: 56-65 | |
3 | Jessica Lin, Eamonn J. Keogh, Wagner Truppel: (Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research. IC-AI 2003: 55-61 | |
2 | Eamonn J. Keogh, Jessica Lin, Wagner Truppel: Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. ICDM 2003: 115-122 | |
2002 | ||
1 | Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi: Mining Motifs in Massive Time Series Databases. ICDM 2002: 370-377 |