Nurjahan Begum
TitleCited byYear
The ucr time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
910*2015
Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ...
2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016
1392016
Accelerating dynamic time warping clustering with a novel admissible pruning strategy
N Begum, L Ulanova, J Wang, E Keogh
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
752015
Rare time series motif discovery from unbounded streams
N Begum, E Keogh
Proceedings of the VLDB Endowment 8 (2), 149-160, 2014
562014
Scalable clustering of time series with u-shapelets
L Ulanova, N Begum, E Keogh
Proceedings of the 2015 SIAM International Conference on Data Mining, 900-908, 2015
362015
The ucr time series classification archive
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
October, 2018
262018
Semi-supervision dramatically improves time series clustering under dynamic time warping
HA Dau, N Begum, E Keogh
Proceedings of the 25th ACM International on Conference on Information and …, 2016
242016
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ...
Data Mining and Knowledge Discovery 32 (1), 83-123, 2018
222018
Towards a minimum description length based stopping criterion for semi-supervised time series classification
N Begum, B Hu, T Rakthanmanon, E Keogh
2013 IEEE 14th International Conference on Information Reuse & Integration …, 2013
182013
A minimum description length technique for semi-supervised time series classification
N Begum, B Hu, T Rakthanmanon, E Keogh
Integration of reusable systems, 171-192, 2014
142014
Clustering in the face of fast changing streams
L Ulanova, N Begum, M Shokoohi-Yekta, E Keogh
Proceedings of the 2016 SIAM International Conference on Data Mining, 1-9, 2016
32016
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy
N Begum, L Ulanova, HA Dau, J Wang, E Keogh
arXiv preprint arXiv:1612.00637, 2016
22016
Optimal queries processing in a heterogeneous sensor network using multicommodity network flow method
N Begum, S Tasnim, M Naznin
2010 IEEE 17Th International Conference on Industrial Engineering and …, 2010
22010
Rare Pattern Discovery from Time Series
N Begum, E Keogh
1
Exploiting Time Series Primitives to Solve Realistic Data Mining Problems
N Begum
UC Riverside, 2016
2016
DSAA 2018 Program Committee
N Ahmed, H Alatrista-Salas, A Anagnostopoulos, R Assuncao, S Banerjee, ...
The system can't perform the operation now. Try again later.
Articles 1–16