Mohammad Shokoohi-Yekta

According to our database, Mohammad Shokoohi-Yekta authored at least 7 papers between 2013 and 2017.

Collaborative distances:

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

2017

Generalizing DTW to the multi-dimensional case requires an adaptive approach.

Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh

Data Min. Knowl. Discov., 2017

A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior.

Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

2016

Clustering in the Face of Fast Changing Streams.

Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

Meaningful Rule Discovery and Adaptive Classification of Multi-Dimensional Time Series Data.

Mohammad Shokoohi-Yekta

PhD thesis, 2015

On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case.

Mohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Discovery of Meaningful Rules in Time Series.

Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Parameter-Free Audio Motif Discovery in Large Data Archives.

Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou, Eamonn J. Keogh

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