Content type
People
Search results
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Tony Bagnall
- School of Computing Sciences - Honorary Professorial Fellow
- Data Science and AI - Member
Person: Honorary, Research Group Member
Research output
Search results
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Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series
Dau, H. A., Silva, D. F., Petitjean, F., Forestier, G., Bagnall, A. & Keogh, E., Dec 2017, IEEE International Conference on Big Data. The Institute of Electrical and Electronics Engineers (IEEE), p. 917-922 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile16 Citations (Scopus)14 Downloads (Pure) -
BruteSuppression: a size reduction method for Apriori rule sets
Hills, J., Bagnall, A., de la Iglesia, B. & Richards, G., Jun 2013, In: Journal of Intelligent Information Systems. 40, 3, p. 431-454 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Citations (Scopus)15 Downloads (Pure) -
HIVE-COTE 2.0: a new meta ensemble for time series classification
Middlehurst, M., Large, J., Flynn, M., Lines, J., Bostrom, A. & Bagnall, A., Dec 2021, In: Machine Learning. 110, p. 3211–3243 33 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile129 Citations (Scopus)67 Downloads (Pure) -
Time series classification with HIVE-COTE: The hierarchical vote collective of transformation-based ensembles
Lines, J., Taylor, S. & Bagnall, A., 1 Jul 2018, In: ACM Transactions on Knowledge Discovery from Data. 12, 5, 35 p., 52.Research output: Contribution to journal › Article › peer-review
Open AccessFile226 Citations (Scopus)33 Downloads (Pure) -
Matrix Profile XII: MPDist: A Novel Time Series Distance Measure to allow Data Mining in more Challenging Scenarios
Gharghabi, S., Imani, S., Bagnall, A., Darvishzadeh, A. & Keogh, E., 31 Dec 2018, IEEE International Conference on Data Mining. p. 965-970 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile42 Citations (Scopus)107 Downloads (Pure) -
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments
Gharghabi, S., Imani, S., Bagnall, A., Darvishzadeh, A. & Keogh, E., Jul 2020, In: Data Mining and Knowledge Discovery. 34, 4, p. 1104–1135 32 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)17 Downloads (Pure)
Projects
Search results
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Time series data mining of electricity usage patterns (EPSRC Industrial CASE) (Student - Jason Lines)
1/10/10 → 30/09/15
Project: Training
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I-CASE studentship - The Scotch Whisky Research Institute
The Scotch Whisky Research Institute
1/10/16 → 30/09/20
Project: Training