Version 2 2019-04-02, 00:31Version 2 2019-04-02, 00:31
Version 1 2019-03-30, 06:52Version 1 2019-03-30, 06:52
thesis
posted on 2019-04-02, 00:31authored byCHANG WEI TAN
This thesis develops scalable algorithms and techniques to classify large amount of time series data. Nowadays, many real-world applications are generating huge amount of time series data. This wealth of data is required to create finer and more accurate classification models that allow us to learn from the data. Unfortunately, the state-of-the-art classification algorithms are impractical for large amount of time series data. Models that are accurate but slow are not good. Therefore, the ability to classify large amount of data quickly and accurately allows the state of the art to be more practical in many applications.
History
Campus location
Australia
Principal supervisor
Geoff Ian Webb
Additional supervisor 1
Francois Petitjean
Additional supervisor 2
Paul Reichl
Year of Award
2019
Department, School or Centre
Information Technology (Monash University Clayton)