Abstract
Speed skating is a form of ice skating in which the skaters race each other over a variety of standardised distances. Races take place on specialised ice-rinks and the type of track and ice conditions can have a significant impact on race-times. As race distances increase, pacing also plays an important role. In this paper we seek to extend recent work on the application of case-based reasoning to marathon-time prediction by predicting race-times for speed skaters. In particular, we propose and evaluate a number of case-based reasoning variants based on different case and feature representations to generate track-specific race predictions. We show it is possible to improve upon state-of-the-art prediction accuracy by harnessing richer case representations using shorter races and track-adjusted finish and lap-times.
Original language | English |
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Title of host publication | Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings |
Editors | Ian Watson, Rosina Weber |
Publisher | Springer |
Pages | 112-126 |
Number of pages | 15 |
ISBN (Print) | 9783030583415 |
DOIs | |
Publication status | Published - Oct 2020 |
Event | 28th International Conference on Case-Based Reasoning, ICCBR 2020 - Salamanca, Spain Duration: 8 Jun 2020 → 12 Jun 2020 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12311 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 28th International Conference on Case-Based Reasoning, ICCBR 2020 |
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Country/Territory | Spain |
City | Salamanca |
Period | 8/06/20 → 12/06/20 |
Funding
Supported by Science Foundation Ireland through the Insight Centre for Data Analytics under Grant Number 12/RC/2289P2.
Keywords
- Case representation
- CBR for health and exercise
- Race-time prediction
- Speed skating