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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

An Analysis of Case Representations for Marathon Race Prediction and Planning

verfasst von : Barry Smyth, Pádraig Cunningham

Erschienen in: Case-Based Reasoning Research and Development

Verlag: Springer International Publishing

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Abstract

We use case-based reasoning to help marathoners achieve a personal best for an upcoming race, by helping them to select an achievable goal-time and a suitable pacing plan. We evaluate several case representations and, using real-world race data, highlight their performance implications. Richer representations do not always deliver better prediction performance, but certain representational configurations do offer very significant practical benefits for runners, when it comes to predicting, and planning for, challenging goal-times during an upcoming race.

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Vorheriges Kapitel Why Did Naethan Pick Android over Apple? Exploiting Trade-offs in Learning User Preferences
Nächstes Kapitel Dynamic Case Bases and the Asymmetrical Weighted One-Mode Projection
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Metadaten
Titel
An Analysis of Case Representations for Marathon Race Prediction and Planning
verfasst von
Barry Smyth
Pádraig Cunningham
Copyright-Jahr
2018
Buch
Case-Based Reasoning Research and Development

Print ISBN: 978-3-030-01080-5

Electronic ISBN: 978-3-030-01081-2

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-01081-2_25