Conference Papers Year : 2022

Equilibrium Resolution for Epoch Partitioning

Wojciech Wisniewski
  • Function : Author
  • PersonId : 1406733
Yuri Kalnishkan
  • Function : Author
  • PersonId : 1406734
David Lindsay
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  • PersonId : 1406735
Siân Lindsay
  • Function : Author
  • PersonId : 1406736

Abstract

This paper proposes a method for determining the resolution for the processing of irregularly-sampled time series data to provide a balanced perspective of agents’ behaviour. The behaviour is described as a collection of prolonged events, which are characterised by start/open and end/close times in addition to other useful attributes. We propose the definition of an equilibrium resolution and carry out its analysis based on probabilistic assumptions. The resulting methods of determining the equilibrium resolution are tested on real-life time series data sets from the Financial and Travel problem domains.
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hal-04668650 , version 1 (07-08-2024)

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Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay. Equilibrium Resolution for Epoch Partitioning. 18th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2022, Hersonissos, Greece. pp.387-401, ⟨10.1007/978-3-031-08337-2_32⟩. ⟨hal-04668650⟩
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