Chotirat Ratanamahatana

发表

Learning DTW Global Constraint for Time Series Classification pdf

Vit Niennattrakul, Chotirat Ratanamahatana, 2009, ArXiv.

Hand Geometry Verification Using Time Series Representation

Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ratanamahatana, 2007, KES.

An Enhanced Support Vector Machine for Faster Time Series Classification

Chotirat Ratanamahatana, Thapanan Janyalikit, Phongsakorn Sathianwiriyakhun, 2016, ACIIDS.

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

Eamonn J. Keogh, Vit Niennattrakul, Chotirat Ratanamahatana, 2010, 2010 IEEE International Conference on Data Mining.

Shape-based template matching for time series data

Vit Niennattrakul, Chotirat Ratanamahatana, Dararat Srisai, 2012, Knowl. Based Syst..

Mining Time Series Data

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2005, Data Mining and Knowledge Discovery Handbook.

TFRS: Thai finger-spelling sign language recognition system

Vit Niennattrakul, Chotirat Ratanamahatana, Supawadee Saengsri, 2012, 2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP).

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

Gareth J. Janacek, Eamonn J. Keogh, Stefano Lonardi, 2006, Data Mining and Knowledge Discovery.

Accurate subsequence matching on data stream under time warping distance

Vit Niennattrakul, Dechawut Wanichsan, Chotirat Ratanamahatana, 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

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

Vit Niennattrakul, Chotirat Ratanamahatana, C. Ratanamahatana, 2009, ArXiv.

Feature selection for the naive bayesian classifier using decision trees

Dimitrios Gunopulos, Chotirat Ratanamahatana, D. Gunopulos, 2003, Appl. Artif. Intell..

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

Eamonn J. Keogh, Chotirat Ratanamahatana, C. Ratanamahatana, 2005, KES.

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

Supasate Choochaisri, Chalermek Intanagonwiwat, Vit Niennattrakul, 2011, ArXiv.

Speech Audio Retrieval Using Voice Query

Chotirat Ratanamahatana, Phubes Tohlong, 2006, ICADL.

Partial elastic matching of time series

Qiang Wang, Longin Jan Latecki, Eamonn J. Keogh, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

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

Vit Niennattrakul, Chotirat Ratanamahatana, C. Ratanamahatana, 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

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

Eamonn J. Keogh, Stefano Lonardi, Anthony J. Bagnall, 2005, PAKDD.

Meaningful Subsequence Matching under Time Warping Distance for Data Stream

Vit Niennattrakul, Chotirat Ratanamahatana, 2009, PAKDD.

A dimensionality reduction algorithm and its application for interactive visualization

Jeffrey Xu Yu, Jiyuan An, Yi-Ping Phoebe Chen, 2007, J. Vis. Lang. Comput..

Vit Niennattrakul, Chotirat Ratanamahatana, Pongsakorn Ruengronghirunya, 2009, PAKDD.

Scaling and time warping in time series querying

Eamonn J. Keogh, Ada Wai-Chee Fu, Chotirat Ratanamahatana, 2005, The VLDB Journal.

Selective Subsequence Time Series clustering

Vit Niennattrakul, Chotirat Ratanamahatana, Sura Rodpongpun, 2012, Knowl. Based Syst..

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

Chotirat Ratanamahatana, Ariyawat Chonbodeechalermroong, 2018, ACIIDS.

Three Myths about Dynamic Time Warping Data Mining

Eamonn J. Keogh, Chotirat Ratanamahatana, C. Ratanamahatana, 2005, SDM.

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

Brad A. Myers, John F. Pane, Chotirat Ratanamahatana, 2001, Int. J. Hum. Comput. Stud..

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

Vit Niennattrakul, Chotirat Ratanamahatana, C. Ratanamahatana, 2007, International Conference on Computational Science.

The UCR time series archive

Eamonn J. Keogh, Yan Zhu, Hoang Anh Dau, 2018, IEEE/CAA Journal of Automatica Sinica.

Shape-Based Clustering for Time Series Data

Vit Niennattrakul, Chotirat Ratanamahatana, Warissara Meesrikamolkul, 2012, PAKDD.

Exact indexing for massive time series databases under time warping distance

Vit Niennattrakul, Chotirat Ratanamahatana, Pongsakorn Ruengronghirunya, 2009, Data Mining and Knowledge Discovery.

Efficient Proper Length Time Series Motif Discovery

Chotirat Ratanamahatana, Haemwaan Sivaraks, Thanawin Rakthanmanon, 2013, 2013 IEEE 13th International Conference on Data Mining.

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

Nitin Kumar, Eamonn J. Keogh, Stefano Lonardi, 2005, SDM.

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

Chotirat Ratanamahatana, Haemwaan Sivaraks, Sura Rodpongpun, 2014, SCDM.

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

Chotirat Ratanamahatana, Waiyawuth Euachongprasit, C. Ratanamahatana, 2008, PAKDD.

Making Time-Series Classification More Accurate Using Learned Constraints

Eamonn J. Keogh, Chotirat Ratanamahatana, C. Ratanamahatana, 2004, SDM.

Efficient Multimedia Time Series Data Retrieval Under Uniform Scaling and Normalisation

Chotirat Ratanamahatana, Waiyawuth Euachongprasit, C. Ratanamahatana, 2008, ECIR.

Elastic Partial Matching of Time Series

Qiang Wang, Longin Jan Latecki, Eamonn J. Keogh, 2005, PKDD.

Towards parameter-free data mining

Eamonn J. Keogh, Stefano Lonardi, Chotirat Ratanamahatana, 2004, KDD.

Stopping Criterion Selection for Efficient Semi-supervised Time Series Classification

Dechawut Wanichsan, Chotirat Ratanamahatana, C. Ratanamahatana, 2008, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

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

Chotirat Ratanamahatana, Poat Sajjipanon, 2009, PAKDD.

Multimedia Retrieval Using Time Series Representation and Relevance Feedback

Eamonn J. Keogh, Chotirat Ratanamahatana, 2005, ICADL.

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

Chotirat Ratanamahatana, 2006, KES.

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

Chotirat Ratanamahatana, Haemwaan Sivaraks, C. Ratanamahatana, 2015, Comput. Math. Methods Medicine.