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Jessica Lin 0001
Author information
- 林 虹汎, George Mason University
Other persons with the same name
- Jessica Lin
- Jessica Lin 0002 — University of Otago Christchurch, Department of Medicine, Christchurch, New Zealand
2010 – today
- 2012
[j9]Jessica Lin, Rohan Khade, Yuan Li: Rotation-invariant similarity in time series using bag-of-patterns representation. J. Intell. Inf. Syst. 39(2): 287-315 (2012)- [c22]
- 2011
- [j8]Jessica Lin, Guido Cervone, Nigel Waters: DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010). SIGSPATIAL Special 3(1): 6-7 (2011)
- 2010
- [j7]Jessica Lin, William Ott: Observing Infinite-dimensional Dynamical Systems. SIAM J. Applied Dynamical Systems 9(4): 1229-1243 (2010)
- [c21]
- [c20]Jessica Lin, Guido Cervone, Pasquale Franzese: Assessment of error in air quality models using dynamic time warping. GIS-DMG 2010: 38-44
- [p2]Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das: Mining Time Series Data. Data Mining and Knowledge Discovery Handbook 2010: 1049-1077
- [e1]Jessica Lin, Guido Cervone, Nigel Waters (Eds.): Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, DMG 2010, November 2, 2010, San Jose, CA, USA, Proceedings. ACM 2010, ISBN 978-1-4503-0430-6
2000 – 2009
- 2009
- [c19]
- [c18]Jessica Lin, Yuan Li: Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. SSDBM 2009: 461-477
- 2008
- [c17]
- [c16]Jessica Lin, David Etter, David DeBarr: Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM 2008: 656-667
- [c15]
- 2007
- [j6]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)
- [j5]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
- [j4]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)
- [j3]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)
- [c14]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
- [c13]Jessica Lin, Eamonn J. Keogh: Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD 2006: 284-296
- 2005
- [j2]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)
- [j1]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)
- [p1]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
- [c12]Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle: Approximations to Magic: Finding Unusual Medical Time Series. CBMS 2005: 329-334
- [c11]Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM 2005: 226-233
- [c10]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
- 2004
- [c9]Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu: We Have Seen the Future, and It Is Symbolic. ACSW Frontiers 2004: 83
- [c8]Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos: Iterative Incremental Clustering of Time Series. EDBT 2004: 106-122
- [c7]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom: Visually mining and monitoring massive time series. KDD 2004: 460-469
- [c6]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
- [c5]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
- [c4]Jessica Lin, Eamonn J. Keogh, Wagner Truppel: Clustering of streaming time series is meaningless. DMKD 2003: 56-65
- [c3]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
- [c2]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
- [c1]Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi: Mining Motifs in Massive Time Series Databases. ICDM 2002: 370-377
Coauthor Index
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last updated on 2013-04-10 22:30 CEST by the dblp team