Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning

Barry Smyth; Martijn C. Willemsen

doi:10.1007/978-3-030-58342-2_8

Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning

Barry Smyth, Martijn C. Willemsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

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
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	https://doi.org/10.1007/978-3-030-58342-2_8
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)
Volume	12311 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th International Conference on Case-Based Reasoning, ICCBR 2020
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

Access to Document

10.1007/978-3-030-58342-2_8

Cite this

Smyth, B., & Willemsen, M. C. (2020). Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. In I. Watson, & R. Weber (Eds.), Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings (pp. 112-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12311 LNAI). Springer. https://doi.org/10.1007/978-3-030-58342-2_8

Smyth, Barry ; Willemsen, Martijn C. / Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. editor / Ian Watson ; Rosina Weber. Springer, 2020. pp. 112-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

keywords = "Case representation, CBR for health and exercise, Race-time prediction, Speed skating",

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Smyth, B & Willemsen, MC 2020, Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. in I Watson & R Weber (eds), Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12311 LNAI, Springer, pp. 112-126, 28th International Conference on Case-Based Reasoning, ICCBR 2020, Salamanca, Spain, 8/06/20. https://doi.org/10.1007/978-3-030-58342-2_8

Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. / Smyth, Barry; Willemsen, Martijn C.
Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. ed. / Ian Watson; Rosina Weber. Springer, 2020. p. 112-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12311 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Willemsen, Martijn C.

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N2 - 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.

AB - 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.

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KW - CBR for health and exercise

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Smyth B, Willemsen MC. Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. In Watson I, Weber R, editors, Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. Springer. 2020. p. 112-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-58342-2_8

Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning

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