Concepedia

Mohammad Shokoohi-Yekta

MS

Statistics

Publications

5

Citations

565

H-Index

5

Active since

2013

Affiliations

University of California, Riverside(Current)

Mohammad Shokoohi-Yekta is an author at University of California, Riverside specializing in data mining, computer science, and computing.

Publications per year

2013–2016

5

Publications

5

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

Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin et al. · Data Mining and Knowledge Discovery · 2016 · 323 citations · Full text

Natural Sciences, Mathematics, Dynamical Systems +3

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

Mohammad Shokoohi-Yekta, Jun Wang, Eamonn Keogh · 2015 · 137 citations

Computing, Computer Science, Data Mining +8

Discovery of Meaningful Rules in Time Series

Mohammad Shokoohi-Yekta, Yanping Chen, Bilson Campana et al. · 2015 · 82 citations

Computing, Computer Science, Data Mining +10

Parameter-Free Audio Motif Discovery in Large Data Archives

Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou et al. · 2013 · 13 citations

Life Sciences, Bioinformatics, Data Mining +13

Clustering in the Face of Fast Changing Streams

Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta et al. · 2016 · 10 citations · Full text

Computing, Computer Science, Data Science +12

1–5 of 5