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Stefano Lonardi
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Publications
- 2015
- [j42]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. Data Min. Knowl. Discov. 29(2): 358-399 (2015) - 2012
- [j34]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans:
MDL-based time series clustering. Knowl. Inf. Syst. 33(2): 371-399 (2012) - 2011
- [c49]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. Algorithmic Probability and Friends 2011: 184-197 - [c47]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans:
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. ICDM 2011: 547-556 - [c46]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. ICDM 2011: 1086-1091 - 2007
- [j21]Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John C. Handley:
Compression-based data mining of sequential data. Data Min. Knowl. Discov. 14(1): 99-129 (2007) - [j20]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) - 2006
- [j16]Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek:
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Min. Knowl. Discov. 13(1): 11-40 (2006) - [j14]Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu:
Efficient Discovery of Unusual Patterns in Time Series. New Gener. Comput. 25(1): 61-93 (2006) - [c33]Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy:
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. ICDM 2006: 912-916 - 2005
- [j12]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi:
Visualizing and discovering non-trivial patterns in large time series databases. Inf. Vis. 4(2): 61-82 (2005) - [j11]Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Stefano Lonardi:
Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems. J. Univers. Comput. Sci. 11(11): 1820-1834 (2005) - [c30]Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle:
A Practical Tool for Visualizing and Data Mining Medical Time Series. CBMS 2005: 341-346 - [c26]Dragomir Yankov, Eamonn J. Keogh, Stefano Lonardi, Ada Wai-Chee Fu:
Dot Plots for Time Series Analysis. ICTAI 2005: 159-168 - [c25]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi:
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering. PAKDD 2005: 771-777 - [c24]Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases. SDM 2005: 531-535 - [c23]Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Assumption-Free Anomaly Detection in Time Series. SSDBM 2005: 237-240 - 2004
- [c21]Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu:
We Have Seen the Future, and It Is Symbolic. ACSW 2004: 83 - [c15]Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana:
Towards parameter-free data mining. KDD 2004: 206-215 - [c14]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom:
Visually mining and monitoring massive time series. KDD 2004: 460-469 - [c13]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
- [c10]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 - [c9]Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonardi:
Probabilistic discovery of time series motifs. KDD 2003: 493-498 - 2002
- [c6]Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi:
Mining Motifs in Massive Time Series Databases. ICDM 2002: 370-377 - [c5]Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu:
Finding surprising patterns in a time series database in linear time and space. KDD 2002: 550-556
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