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Jon Hills
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Classification of time series by shapelet transformation
J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall
Data mining and knowledge discovery 28, 851-881, 2014
6642014
Time-series classification with COTE: the collective of transformation-based ensembles
A Bagnall, J Lines, J Hills, A Bostrom
IEEE Transactions on Knowledge and Data Engineering 27 (9), 2522-2535, 2015
5982015
A shapelet transform for time series classification
J Lines, LM Davis, J Hills, A Bagnall
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
4972012
Transformation based ensembles for time series classification
A Bagnall, L Davis, J Hills, J Lines
Proceedings of the 2012 SIAM international conference on data mining, 307-318, 2012
1712012
BruteSuppression: a size reduction method for Apriori rule sets
J Hills, A Bagnall, B de la Iglesia, G Richards
Journal of intelligent information systems 40, 431-454, 2013
292013
Finding motif sets in time series
A Bagnall, J Hills, J Lines
arXiv preprint arXiv:1407.3685, 2014
102014
Time-series Classification with Shapelets
J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall
Data Min. Knowl. Discov 28, 851-881, 2014
92014
Interestingness measures for fixed consequent rules
J Hills, LM Davis, A Bagnall
Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012
82012
The collective of transformation-based ensembles for time-series classification
J Lines, J Hills, A Bagnall
IEEE Transactions on Knowledge and Data Engineering 27 (9), 2522-2535, 2015
72015
Shapelet based time-series classification
A Bagnall, J Hills, J Lines
62013
Technical Report CMPC14-03: Finding Motif Sets in Time Series
A Bagnall, J Hills, J Lines
arXiv preprint arXiv:1407.3685, 2014
12014
Shape-based Analysis of Time-series Data
J Hills, T Bagnall
School of Computing Sciences, Postgraduate Research Day 2013: Book of Abstracts, 0
Preprint: Interestingness Measures for Fixed Consequent Rules
J Hills, LM Davis, A Bagnall
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Articoli 1–13