This project is no longer listed in the FindAPhD
database and may not be available.
This PhD project is offered on a self-funding basis. It is open to applicants with funding or those applying to funding sources. Details of tuition fees can be found at http://www.uea.ac.uk/pgresearch/pgrfees.
A bench fee is also payable on top of the tuition fee to cover specialist equipment or laboratory costs required for the research. The amount charged annually will vary considerably depending on the nature of the project and applicants should contact the primary supervisor for further information about the fee associated with the project.
i) Bagnall, A., Lines, J., Hills, J. and Bostrom, A. (2015) Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles. IEEE Transactions on Knowledge and Data Engineering, online first
ii) Lines, J. and Bagnall, A. (2015) Time series classification with ensembles of elastic distance measures. Data Mining and Knowledge Discovery Journal, 29 (3). pp. 565-592
iii) Hills, J., Lines, J, Baranauskas, E., Mapp, J. and Bagnall, A. (2014) Classification of time series by shapelet transformation. Data Mining and Knowledge Discovery Journal, 28 (4). pp. 851-881
iv) Bagnall, Anthony and Janacek, Gareth (2014) A Run Length Transformation for Discriminating Between Auto Regressive Time Series. Journal of Classification, 31 (2). pp. 154-178
v) Bagnall, AJ, Ratanamahatan, C, Keogh, E, Lonardi, S and Janacek, GJ (2006) A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Mining and Knowledge Discovery Journal, 13 (1). pp. 11-40