Career History

Tony joined CMP as a part time MRes student/part time teaching assistant in 1993 having finished his BSc in Mathematics and Statistics at the University of Hertfordshire. After completing his Masters by research in 1995 he began a PhD titled "Modelling the UK electricity market with autonomous adaptive agents". After a brief period as a research assistant on a data mining project sponsored by Master Foods and Centrica, in 1999 he completed his PhD and was appointed as a Lecturer in Statistics for Data Mining jointly in the schools of Computer Science and Mathematics. In 2003 statistics moved into CMP and since then Tony has been a full member of the school. In 2007 he was promoted to senior lecturer.

Tony has been involved in researching areas of optimization, machine learning, agent systems, statistics and data mining. Currently he is primarily focused on time series data mining. He is involved in several ongoing projects, links to which can be found below:

PhD Projects 

Dr. Bagnall would welcome applications from students who have secured their own funding who wish to work in any areas of time series data mining. Specifically, Dr. Bagnall has projects available in Time Series Classification and is looking for people to work on image outline classification and with environmental datasets, but he will consider proposals in related areas such as time clustering, regression and rule induction and other problem domains.

If you would like to discuss research projects in more detail, please contact Dr. Bagnall directly (ajb@uea.ac.uk)

Research Projects

Time Series Classification

Shapelet based time series classification

Predictive Modelling of Bone Ageing with Luke Davis

Time Series Data Mining Electricity Usage Patterns with Jason Lines

Time Series Data Mining with Clipped Series
 

All Publications

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Bagnall, A., Lines, J., Bostrom, A., Large, J., Keogh, E.

(2017)

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances,

in Data Mining and Knowledge Discovery

31

(3)

pp. 606–660

Full Text UEA Repository

(Article)

(Published)


Lines, J., Taylor, S., Bagnall, A.

(2016)

HIVE-COTE: The hierarchical vote collective of transformation-based ensembles for time series classification,

UEA Repository

(Paper)

(Published)


Bagnall, A., Lines, J., Hills, J., Bostrom, A.

(2016)

Time-series classification with COTE: The collective of transformation-based ensembles,

Full Text

(Abstract)

(Published)


Younsi, R., Bagnall, A.

(2016)

Ensembles of random sphere cover classifiers,

in Pattern Recognition

49

pp. 213–225

Full Text UEA Repository

(Article)

(Published)


Bagnall, A., Lines, J., Hills, J., Bostrom, A.

(2015)

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles,

in IEEE Transactions on Knowledge and Data Engineering

27

(9)

pp. 2522-2535

Full Text UEA Repository

(Article)

(Published)


Bostrom, A., Bagnall, A.

(2015)

Binary Shapelet Transform for Multiclass Time Series Classification,

in Big Data Analytics and Knowledge Discovery : 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings.

Springer

pp. 257-269

ISBN 978-3-319-22728-3

Full Text

(Conference contribution)

(Published)


Saeed, A., Cawley, G., Bagnall, A.

(2015)

Benchmarking the Semi-Supervised Naïve Bayes Classifier,

Full Text UEA Repository

(Paper)

(Published)


Lines, J., Bagnall, A.

(2015)

Time series classification with ensembles of elastic distance measures,

in Data Mining and Knowledge Discovery

29

(3)

pp. 565-592

Full Text UEA Repository

(Article)

(Published)


Hills, J., Lines, J., Baranauskas, E., Mapp, J., Bagnall, A.

(2014)

Classification of time series by shapelet transformation,

in Data Mining and Knowledge Discovery

28

(4)

pp. 851-881

Full Text UEA Repository

(Article)

(Published)


Bagnall, A., Janacek, G.

(2014)

A Run Length Transformation for Discriminating Between Auto Regressive Time Series,

in Journal of Classification

31

(2)

pp. 154-178

Full Text UEA Repository

(Article)

(Published)


Lines, J., Bagnall, A.

(2014)

Ensembles of Elastic Distance Measures for Time Series Classification,

UEA Repository

(Paper)

(Published)


Bagnall, A., Lines, J.

(2014)

An Experimental Evaluation of Nearest Neighbour Time Series Classification,

UEA Repository

(Working paper)

(Published)


Bagnall, A., Davis, L.

(2014)

Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes,

UEA Repository

(Working paper)

(Published)


Bagnall, A., Hills, J., Lines, J.

(2014)

Finding Motif Sets in Time Series,

UEA Repository

(Working paper)

(Published)


Hills, J., Bagnall, A., De La Iglesia, B., Richards, G.

(2013)

BruteSuppression: a size reduction method for Apriori rule sets,

in Journal of Intelligent Information Systems

40

(3)

pp. 431-454

Full Text UEA Repository

(Article)

(Published)


Mapp, J., Fisher, M., Bagnall, T., Lines, J., Songer, Sally. CEFAS Lowestoft, Scutt Phillips, Joe. CEFAS Lowestoft

(2013)

Clupea Harengus: Intraspecies Distinction Using Curvature Scale Space and Shapelets,

UEA Repository

(Paper)

(Published)


Davis, L., Theobald, B., Lines, J., Toms, A., Bagnall, A.

(2012)

On the segmentation and classification of hand radiographs,

in International Journal of Neural Systems

22

(5)

pp. 1250020-1250036

Full Text UEA Repository

(Article)

(Published)


Bagnall, A., Davis, L., Hills, J., Lines, J.

(2012)

Transformation Based Ensembles for Time Series Classification,

UEA Repository

(Paper)

(Published)


Davis, L., Theobald, B., Bagnall, A.

(2012)

Automated Bone Age Assessment Using Feature Extraction,

in Lecture Notes in Computer Sciences

7435

pp. 43-51

Full Text UEA Repository

(Article)

(Published)


Hills, J., Davis, L., Bagnall, A.

(2012)

Interestingness Measures for Fixed Consequent Rules,

in Lecture Notes in Computer Sciences

7435

pp. 68-75

Full Text UEA Repository

(Article)

(Published)


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Key Research Interests

His main current research interest is in the design and evaluation of algorithms for time series data mining and the development of novel time series application areas.

Selected Recent Publications:

Time series classification with ensembles of elastic distance measures
Bagnall, A. 2014 In : Data Mining and Knowledge Discovery Journal, online first 

Classification of time series by shapelet transformation
Hills, J., Lines, J., Baranauskas, E., Mapp, J. & Bagnall, A. Jul 2014 In : Data Mining and Knowledge Discovery Journal. 28, 4, p. 851-881

A Run Length Transformation for Discriminating Between Auto Regressive Time Series Bagnall, A. & Janacek, G. Jun 2014 In : Journal of Classification. 31, 2, p. 154-178

.

 

Teaching Interests

Tony currently teaches programming, data structures and algorithms and machine learning. Previously he has taught on numerous mathematics, statistics and computing courses.

Programming 1

Data Structures and Algorithms

Programming 2 

Machine Learning

 

 

 

Key Responsibilities

Chairman of Examiners (undergraduate)

Course Director for Computing Science, Master of Computing Science and Computing Science with a year in industry

Deputy Teaching Director for CMP (undergraduate)