Running with Cases: A CBR Approach to Running Your Best Marathon

Every year millions of people around the world train for, and compete in, marathons. When race-day approaches, and training schedules begin to wind down, many participants will turn their attention to their race strategy, as they strive to achieve their best time. To help with this, in this paper we describe a novel application of case-based reasoning to address the dual task of: (1) predicting a challenging, but achievable, personal best race-time for a marathon runner; and (2) recommending a race-plan to achieve this time. We describe how suitable cases can be generated from the past races of runners, and how we can predict a personal best race-time and produce a tailored race-plan by reusing the race histories of similar runners. This work is evaluated using data from the last six years of the London Marathon.

[1]  T. Maclennan.  Moneyball: The Art of Winning an Unfair Game , 2005 .

[2]  Nicholas William Trubee,et al.  The Effects of Age, Sex, Heat Stress, and Finish Time on Pacing in the Marathon , 2011 .

[3]  Thomas A. Haney.  Variability of pacing in marathon distance running , 2010 .

[4]  Robert O. Deaner,et al.  More males run fast A stable sex difference in competitiveness in U.S. distance runners , 2006 .

[5]  Chris R Abbiss,et al.  Describing and Understanding Pacing Strategies during Athletic Competition , 2008, Sports medicine.

[6]  Mirco Musolesi,et al.  The Rise of People-Centric Sensing , 2008, IEEE Internet Comput..

[7]  Nancy N. Thompson,et al.  Pacing Strategy and Athletic Performance , 1994, Sports medicine.

[8]  S. Biddle,et al.  Cognitive orientations in marathon running and "hitting the wall". , 1998, British journal of sports medicine.

[9]  Andrew Campbell,et al.  The Rise of People-Centric Sensing , 2008, IEEE Internet Computing.

[10]  Yadira Espinal.  Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .

[11]  Luigi Portinale,et al.  Special issue on case-based reasoning in the health sciences , 2007, Applied Intelligence.

[12]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[13]  M. Pusic,et al.  Developing the role of big data and analytics in health professional education , 2014, Medical teacher.

[14]  Eric Gossett,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[15]  Brian Caulfield,et al.  Automatic detection of collisions in elite level rugby union using a wearable sensing device , 2012, Sports Engineering.