Search results for "Jessica Lin"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Jessica Lin, Yuan Li	Finding structurally different medical data.	CBMS	2009	DBLP DOI BibTeX RDF
2	Jessica Lin, Yuan Li	Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation.	SSDBM	2009	DBLP DOI BibTeX RDF	Data mining, Time series, Similarity Search
2	Eiman Al-Shammari, Jessica Lin	Towards an error-free Arabic stemming.	CIKM-iNEWS	2008	DBLP DOI BibTeX RDF	text mining, stemming, tokenization, Arabic, lemmatization
2	Jessica Lin, David Etter, David DeBarr	Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data.	SDM	2008	DBLP BibTeX RDF
2	Eiman Al-Shammari, Jessica Lin	A novel Arabic lemmatization algorithm.	AND	2008	DBLP DOI BibTeX RDF	text mining, stemming, tokenization, Arabic, lemmatization
2	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	2008	DBLP DOI BibTeX RDF
2	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	2008	DBLP DOI BibTeX RDF
2	Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi	Experiencing SAX: a novel symbolic representation of time series.	Data Min. Knowl. Discov.	2007	DBLP DOI BibTeX RDF	Data mining, Time series, Discretize, Symbolic representation
2	Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle	Finding the most unusual time series subsequence: algorithms and applications.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Time series data mining, Clustering, Anomaly detection
2	Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin	Finding Time Series Discords Based on Haar Transform.	ADMA	2006	DBLP DOI BibTeX RDF
2	Jessica Lin, Eamonn J. Keogh	Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.	PKDD	2006	DBLP DOI BibTeX RDF
2	Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu	Efficient Discovery of Unusual Patterns in Time Series.	New Generation Comput.	2006	DBLP DOI BibTeX RDF	Feature Extraction, Anomaly Detection, Time Series, Markov Model, Suffix Tree, Novelty Detection
2	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	2006	DBLP DOI BibTeX RDF
2	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	2006	DBLP DOI BibTeX RDF
2	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	DBLP BibTeX RDF
2	Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle	Approximations to Magic: Finding Unusual Medical Time Series.	CBMS	2005	DBLP DOI BibTeX RDF
2	Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu	HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.	ICDM	2005	DBLP DOI BibTeX RDF	Time Series Data Mining, Clustering, Anomaly Detection
2	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	DBLP DOI BibTeX RDF
2	Jessica Lin, Eamonn J. Keogh, Stefano Lonardi	Visualizing and discovering non-trivial patterns in large time series databases.	Information Visualization	2005	DBLP DOI BibTeX RDF
2	Eamonn J. Keogh, Jessica Lin	Clustering of time-series subsequences is meaningless: implications for previous and future research.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Data mining, Clustering, Time series, Rule discovery, Subsequence