2008 |
28 | EE | Eiman Al-Shammari,
Jessica Lin:
A novel Arabic lemmatization algorithm.
AND 2008: 113-118 |
27 | EE | Jessica Lin,
David Etter,
David DeBarr:
Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data.
SDM 2008: 656-667 |
26 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Jessica Lin,
Eamonn J. Keogh:
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.
PKDD 2006: 284-296 |
20 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Eamonn J. Keogh,
Jessica Lin,
Ada Wai-Chee Fu:
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.
ICDM 2005: 226-233 |
15 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Jessica Lin,
Michail Vlachos,
Eamonn J. Keogh,
Dimitrios Gunopulos:
Iterative Incremental Clustering of Time Series.
EDBT 2004: 106-122 |
7 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Pranav Patel,
Eamonn J. Keogh,
Jessica Lin,
Stefano Lonardi:
Mining Motifs in Massive Time Series Databases.
ICDM 2002: 370-377 |