Chotirat (Ann) Ratanamahatana - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 18 from 18

2008

Scaling and time warping in time series queryingAda Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana, Raymond Chi-Wing Wong. vldb, 17(4):899-921, 2008. [doi]

2006

A Bit Level Representation for Time Series Data Mining with Shape Based SimilarityAnthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek. datamine, 13(1):11-40, 2006. [doi]

2005

Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia DatabasesChotirat (Ann) Ratanamahatana, Eamonn J. Keogh. kes 2005: 16-23 [doi]

Three Myths about Dynamic Time Warping Data MiningChotirat (Ann) Ratanamahatana, Eamonn J. Keogh. sdm 2005: 506-510

A Novel Bit Level Time Series Representation with Implication of Similarity Search and ClusteringChotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi. pakdd 2005: 771-777 [doi]

Multimedia Retrieval Using Time Series Representation and Relevance FeedbackChotirat (Ann) Ratanamahatana, Eamonn J. Keogh. ICADL 2005: 400-405 [doi]

Mining Time Series DataChotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das. In Oded Maimon, Lior Rokach, editors, The Data Mining and Knowledge Discovery Handbook. pages 1069-1103, Springer, 2005.

Scaling and Time Warping in Time Series QueryingAda Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana. VLDB 2005: 649-660 [doi]

Exact indexing of dynamic time warpingEamonn J. Keogh, Chotirat (Ann) Ratanamahatana. kais, 7(3):358-386, 2005. [doi]

Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series DatabasesNitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana. sdm 2005: 531-535

Elastic Partial Matching of Time SeriesLongin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh. pkdd 2005: 577-584 [doi]

Partial Elastic Matching of Time SeriesLongin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh. icdm 2005: 701-704 [doi]

A Practical Tool for Visualizing and Data Mining Medical Time SeriesLi Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle. cbms 2005: 341-346 [doi]

Assumption-Free Anomaly Detection in Time SeriesLi Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana. ssdbm 2005: 237-240

2004

Making Time-Series Classification More Accurate Using Learned ConstraintsChotirat (Ann) Ratanamahatana, Eamonn J. Keogh. sdm 2004: 11-22 [doi]

Towards parameter-free data miningEamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana. kdd 2004: 206-215 [doi]

2003

Feature Selection for the Naive Bayesian Classifier Using Decision TreesChotirat (Ann) Ratanamahatana, Dimitrios Gunopulos. aai, 17(5-6):475-487, 2003. [doi]

2001

Studying the language and structure in non-programmers solutions to programming problemsJohn F. Pane, Chotirat (Ann) Ratanamahatana, Brad A. Myers. ijmms, 54(2):237-264, 2001. [doi]

Sign in or sign up to see more results.

runs on WebDSL