Jon Hills
Cited by
Cited by
Classification of time series by shapelet transformation
J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall
Data Mining and Knowledge Discovery 28 (4), 851-881, 2014
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
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
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
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 (3), 431-454, 2013
Interestingness measures for fixed consequent rules
J Hills, LM Davis, A Bagnall
International Conference on Intelligent Data Engineering and Automated …, 2012
Time Series Classification with Shapelets
J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall
Journal of Data Mining and Knowledge Discovery, 2013
Shapelet based time-series classification
A Bagnall, J Hills, J Lines
Finding motif sets in time series
A Bagnall, J Hills, J Lines
arXiv preprint arXiv:1407.3685, 2014
The collective of transformation-based ensembles for time-series classification
J Lines, J Hills, A Bagnall
Ueaeprints. Uea. Ac. Uk, 2014
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
The system can't perform the operation now. Try again later.
Articles 1–12