C. Ratanamahatana

发表

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.

CloNI: Clustering Of Square Root Of N -interval Discretization

C. Ratanamahatana, 2003 .

Scaling up the Naive Bayesian Classifier : Using Decision Trees for Feature Selection

D. Gunopulos, C. Ratanamahatana, 2002 .

Singing voice separation for mono-channel music using Non-negative Matrix Factorization

A. Chanrungutai, C.A. Ratanamahatana, C. Ratanamahatana, 2008, 2008 International Conference on Advanced Technologies for Communications.

Shape averaging under Time Warping

C. Ratanamahatana, V. Niennattrakul, 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

Using Relevance Feedback in Multimedia Databases

Eamonn J. Keogh, C. Ratanamahatana, 2004 .

Fast time series classification using numerosity reduction

Li Wei, Eamonn J. Keogh, Chotirat Ann Ratanamahatana, 2006, ICML.

Elastic Partial Matching of Time Series

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

Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Dimitrios Gunopulos, Eamonn J. Keogh, Alfredo Cuzzocrea, 2011, IEEE ICDM 2011.

CloNI: clustering of JN -interval discretization

C. Ratanamahatana, 2003 .

An Algorithm to Compute Protein Homology Based On Hydrophobic Cluster Analysis

C. Ratanamahatana, P. Chongstitvatana, R. Pichyangkura, 2022 .

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

C. Ratanamahatana, Thapanan Janyalikit, 2022, IEEE Access.

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

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

Efficient Multimedia Time Series Data Retrieval Under Uniform Scaling and Normalisation

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

The UCR time series archive

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

Everything you know about Dynamic Time Warping is Wrong

Eamonn J. Keogh, Chotirat Ann Ratanamahatana, Eamonn Keogh, 2004 .

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.

Towards parameter-free data mining

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

A dimensionality reduction algorithm and its application for interactive visualization

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

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

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

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

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

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

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

Efficient Time Series Mining Using Fractal Representation

C.A. Ratanamahatana, P. Sajjipanon, C. Ratanamahatana, 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

Three Myths about Dynamic Time Warping Data Mining

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

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

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

Making Time-Series Classification More Accurate Using Learned Constraints

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

Feature selection for the naive bayesian classifier using decision trees

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

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).

Deep Convolutional Neural Network with Edge Feature for Image Denoising

Chotirat Ann Ratanamahatana, Supakorn Chupraphawan, C. Ratanamahatana, 2019, Recent Advances in Information and Communication Technology 2019.

Discovery of variable length time series motif

Vit Niennattrakul, C. Ratanamahatana, V. Niennattrakul, 2011, The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011.

Enhanced Weighted Dynamic Time Warping for Time Series Classification

Chotirat Ann Ratanamahatana, Pichamon Anantasech, C. Ratanamahatana, 2018, Advances in Intelligent Systems and Computing.

Mining Time Series Data

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

Exact indexing for massive time series databases under time warping distance

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

Scaling and time warping in time series querying

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

Partial elastic matching of time series

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

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

Shape-Based Clustering for Time Series Data

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

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.

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.

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.

A Practical Tool for Visualizing and Data Mining Medical Time Series

Li Wei, Eamonn J. Keogh, Stefano Lonardi, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

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..

Compression-based data mining of sequential data

Li Wei, John C. Handley, Eamonn J. Keogh, 2007, Data Mining and Knowledge Discovery.

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

Chotirat Ann Ratanamahatana, Silumpa Arnupapsanyakorn, C. Ratanamahatana, 2019, DSIT.

Exact indexing of dynamic time warping

Eamonn J. Keogh, Chotirat Ann Ratanamahatana, Eamonn Keogh, 2002, Knowledge and Information Systems.