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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

7 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Titel	Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings
Redacteuren	Ian Watson, Rosina Weber
Uitgeverij	Springer
Pagina's	112-126
Aantal pagina's	15
ISBN van geprinte versie	9783030583415
DOI's	https://doi.org/10.1007/978-3-030-58342-2_8
Status	Gepubliceerd - okt. 2020
Evenement	28th International Conference on Case-Based Reasoning, ICCBR 2020 - Salamanca, Spanje Duur: 8 jun. 2020 → 12 jun. 2020

Publicatie series

Naam	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12311 LNAI
ISSN van geprinte versie	0302-9743
ISSN van elektronische versie	1611-3349

Congres

Congres	28th International Conference on Case-Based Reasoning, ICCBR 2020
Land/Regio	Spanje
Stad	Salamanca
Periode	8/06/20 → 12/06/20

Financiering

Supported by Science Foundation Ireland through the Insight Centre for Data Analytics under Grant Number 12/RC/2289P2.

Toegang tot document

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

Andere bestanden en links

Link to publication in Scopus

Citeer dit

Smyth, B., & Willemsen, M. C. (2020). Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. In I. Watson, & R. Weber (editors), Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings (blz. 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. redacteur / Ian Watson ; Rosina Weber. Springer, 2020. blz. 112-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c2c7d71a15e244ffa193b1a8cce6414b,

title = "Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning",

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",

author = "Barry Smyth and Willemsen, {Martijn C.}",

year = "2020",

month = oct,

doi = "10.1007/978-3-030-58342-2_8",

language = "English",

isbn = "9783030583415",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "112--126",

editor = "Ian Watson and Rosina Weber",

booktitle = "Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings",

address = "Germany",

note = "28th International Conference on Case-Based Reasoning, ICCBR 2020 ; Conference date: 08-06-2020 Through 12-06-2020",

}

Smyth, B & Willemsen, MC 2020, Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. in I Watson & R Weber (uitgave), 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, blz. 112-126, 28th International Conference on Case-Based Reasoning, ICCBR 2020, Salamanca, Spanje, 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. uitgave / Ian Watson; Rosina Weber. Springer, 2020. blz. 112-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12311 LNAI).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning

AU - Smyth, Barry

AU - Willemsen, Martijn C.

PY - 2020/10

Y1 - 2020/10

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.

KW - Case representation

KW - CBR for health and exercise

KW - Race-time prediction

KW - Speed skating

UR - http://www.scopus.com/inward/record.url?scp=85092616901&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-58342-2_8

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

M3 - Conference contribution

AN - SCOPUS:85092616901

SN - 9783030583415

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 112

EP - 126

BT - Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings

A2 - Watson, Ian

A2 - Weber, Rosina

PB - Springer

T2 - 28th International Conference on Case-Based Reasoning, ICCBR 2020

Y2 - 8 June 2020 through 12 June 2020

ER -

Smyth B, Willemsen MC. Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. In Watson I, Weber R, redacteurs, Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings. Springer. 2020. blz. 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

Samenvatting

Publicatie series

Congres

Financiering

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit