Chotirat (Ann) Ratanamahatana

According to our database, Chotirat (Ann) Ratanamahatana authored at least 53 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Time Series Shapelet-Based Movement Intention Detection Toward Asynchronous BCI for Stroke Rehabilitation.

Thapanan Janyalikit, Chotirat Ann Ratanamahatana

IEEE Access, 2022

2020

Influential Factors of an Asynchronous BCI for Movement Intention Detection.

Sura Rodpongpun, Thapanan Janyalikit, Chotirat Ann Ratanamahatana

Comput. Math. Methods Medicine, 2020

2019

The UCR time series archive.

Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh

IEEE CAA J. Autom. Sinica, 2019

An Enhanced Time Series Classification Using Linear-Regression Based Shape Descriptor.

Silumpa Arnupapsanyakorn, Chotirat Ann Ratanamahatana

Proceedings of the 2nd International Conference on Data Science and Information Technology, 2019

2018

Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data.

Ariyawat Chonbodeechalermroong, Chotirat Ann Ratanamahatana

Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018

2016

Fast and accurate template averaging for time series classification.

Phongsakorn Sathianwiriyakhun, Thapanan Janyalikit, Chotirat Ann Ratanamahatana

Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016

An Enhanced Support Vector Machine for Faster Time Series Classification.

Thapanan Janyalikit, Phongsakorn Sathianwiriyakhun, Haemwaan Sivaraks, Chotirat Ann Ratanamahatana

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

Robust and Accurate Anomaly Detection in ECG Artifacts Using Time Series Motif Discovery.

Haemwaan Sivaraks, Chotirat Ann Ratanamahatana

Comput. Math. Methods Medicine, 2015

2014

An Enhanced Parameter-Free Subsequence Time Series Clustering for High-Variability-Width Data.

Navin Madicar, Haemwaan Sivaraks, Sura Rodpongpun, Chotirat Ann Ratanamahatana

Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

2013

Efficient Proper Length Time Series Motif Discovery.

Sorrachai Yingchareonthawornchai, Haemwaan Sivaraks, Thanawin Rakthanmanon, Chotirat Ann Ratanamahatana

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Selective Subsequence Time Series clustering.

Sura Rodpongpun, Vit Niennattrakul, Chotirat Ann Ratanamahatana

Knowl. Based Syst., 2012

Shape-based template matching for time series data.

Vit Niennattrakul, Dararat Srisai, Chotirat Ann Ratanamahatana

Knowl. Based Syst., 2012

Shape-Based Clustering for Time Series Data.

Warissara Meesrikamolkul, Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

TFRS: Thai finger-spelling sign language recognition system.

Supawadee Saengsri, Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the 2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP), 2012

2011

SENVM: Server Environment Monitoring and Controlling System for a Small Data Center Using Wireless Sensor Network

Supasate Choochaisri, Vit Niennattrakul, Saran Jenjaturong, Chalermek Intanagonwiwat, Chotirat Ann Ratanamahatana

CoRR, 2011

2010

Mining Time Series Data.

Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Exact indexing for massive time series databases under time warping distance.

Vit Niennattrakul, Pongsakorn Ruengronghirunya, Chotirat Ann Ratanamahatana

Data Min. Knowl. Discov., 2010

Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams.

Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann Ratanamahatana

Proceedings of the ICDM 2010, 2010

2009

Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning

Vit Niennattrakul, Chotirat (Ann) Ratanamahatana

CoRR, 2009

Learning DTW Global Constraint for Time Series Classification

Vit Niennattrakul, Chotirat Ann Ratanamahatana

CoRR, 2009

A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data.

Poat Sajjipanon, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance.

Pongsakorn Ruengronghirunya, Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Accurate Subsequence Matching on Data Stream under Time Warping Distance.

Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana

Proceedings of the New Frontiers in Applied Data Mining, 2009

Meaningful Subsequence Matching under Time Warping Distance for Data Stream.

Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

Stopping Criterion Selection for Efficient Semi-supervised Time Series Classification.

Chotirat Ann Ratanamahatana, Dechawut Wanichsan

Proceedings of the Software Engineering, 2008

Scaling and time warping in time series querying.

Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana, Raymond Chi-Wing Wong

VLDB J., 2008

Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time Warping.

Waiyawuth Euachongprasit, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Efficient Multimedia Time Series Data Retrieval Under Uniform Scaling and Normalisation.

Waiyawuth Euachongprasit, Chotirat Ann Ratanamahatana

Proceedings of the Advances in Information Retrieval , 2008

2007

A dimensionality reduction algorithm and its application for interactive visualization.

Jiyuan An, Jeffrey Xu Yu, Chotirat Ann Ratanamahatana, Yi-Ping Phoebe Chen

J. Vis. Lang. Comput., 2007

Compression-based data mining of sequential data.

Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John C. Handley

Data Min. Knowl. Discov., 2007

On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping.

Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE 2007), 2007

Hand Geometry Verification Using Time Series Representation.

Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ann Ratanamahatana

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data.

Vit Niennattrakul, Chotirat Ann Ratanamahatana

Proceedings of the Computational Science, 2007

2006

A Bit Level Representation for Time Series Data Mining with Shape Based Similarity.

Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek

Data Min. Knowl. Discov., 2006

Developing a Decision Support System for a Dove's Voice Competition.

Chotirat Ann Ratanamahatana

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Fast time series classification using numerosity reduction.

Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana

Proceedings of the Machine Learning, 2006

Speech Audio Retrieval Using Voice Query.

Chotirat Ann Ratanamahatana, Phubes Tohlong

Proceedings of the Digital Libraries: Achievements, 2006

2005

Exact indexing of dynamic time warping.

Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana

Knowl. Inf. Syst., 2005

Scaling and Time Warping in Time Series Querying.

Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Assumption-Free Anomaly Detection in Time Series.

Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana

Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005

Three Myths about Dynamic Time Warping Data Mining.

Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases.

Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Elastic Partial Matching of Time Series.

Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering.

Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases.

Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Partial Elastic Matching of Time Series.

Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Multimedia Retrieval Using Time Series Representation and Relevance Feedback.

Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the Digital Libraries: Implementing Strategies and Sharing Experiences, 2005

A Practical Tool for Visualizing and Data Mining Medical Time Series.

Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Mining Time Series Data.

Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Making Time-Series Classification More Accurate Using Learned Constraints.

Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Towards parameter-free data mining.

Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Feature Selection for the Naive Bayesian Classifier Using Decision Trees.

Chotirat (Ann) Ratanamahatana, Dimitrios Gunopulos

Appl. Artif. Intell., 2003

2001

Studying the language and structure in non-programmers' solutions to programming problems.

John F. Pane, Chotirat (Ann) Ratanamahatana, Brad A. Myers

Int. J. Hum. Comput. Stud., 2001