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Nurjahan Begum
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The UCR time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
1258*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
4622016
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
1242015
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
922018
Rare time series motif discovery from unbounded streams
N Begum, E Keogh
Proceedings of the VLDB Endowment 8 (2), 149-160, 2014
662014
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
572015
Hexagon-ML,“The ucr time series classification archive,” October 2018
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
532018
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
402016
The ucr time series classification archive. 2018
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
URL www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018
322018
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
272013
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
172014
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
82016
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
52016
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
Int'l Conference on Very Large Databases (VLDB), 2015
12015
Exploiting Time Series Primitives to Solve Realistic Data Mining Problems
N Begum
University of California, Riverside, 2016
2016
Adhikar S.(See Dasgupta M.) Agarwal N.(See Kriplani A.) Agrawal S., Gupta T.….................... S61 Aparna R.(See Vinutha) Ariachery CA (See Kriplani A.)
U Athavale, B Banerjee, S Banerjee, S Basak, A Basu, N Begum, ...
The Journal of Obstetrics and Gynecology of India (November–December 2013 …, 0
Adhikar S.(See Dasgupta M.) Agarwal N.(See Kriplani A.) Agrawal S., Gupta T.….................... S61 Aparna R.(See Vinutha) Ariachery CA (See Kriplani A.)
U Athavale, B Banerjee, S Banerjee, S Basak, A Basu, N Begum, ...
The Journal of Obstetrics and Gynecology of India (November–December 2013 …, 0
DSAA 2018 Program Committee
N Ahmed, H Alatrista-Salas, A Anagnostopoulos, R Assuncao, S Banerjee, ...
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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