Kaveh Kamgar

According to our database, Kaveh Kamgar authored at least 8 papers between 2017 and 2021.

Collaborative distances:

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

2021

Time series motifs discovery under DTW allows more robust discovery of conserved structure.

Sara Alaee, Ryan Mercer, Kaveh Kamgar, Eamonn J. Keogh

Data Min. Knowl. Discov., 2021

2020

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.

Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW.

Sara Alaee, Kaveh Kamgar, Eamonn J. Keogh

Proceedings of the 20th IEEE International Conference on Data Mining, 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

Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets.

Kaveh Kamgar, Shaghayegh Gharghabi, Eamonn J. Keogh

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond.

Zachary Zimmerman, Kaveh Kamgar, Nader Shakibay Senobari, Brian Crites, Gareth J. Funning, Philip Brisk, Eamonn J. Keogh

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds.

Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.

Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017