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      <title-group>
        <article-title>Running with Cases: A CBR Approach to Running Your Best Marathon</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Barry Smyth</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Padraig Cunningham</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Summarized Publication</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Insight Centre for Data Analytics School of Computer Science University College Dublin</institution>
          ,
          <country country="IE">Ireland</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Paper Title: Running with Cases: [1] URL http://bit.ly/iccbr running with cases Conference / Journal 25th International Conference on Case-Based Reasoning Publication Date June, 2017</p>
      </abstract>
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      <title>-</title>
      <p>Running a marathon personal-best (PB) needs careful planning. It starts with
a target-time to aim for; a time that is not so easy that you will feel untested,
but also not so hard that you run the risk of ruining your race because you
hit the wall. But a target nish-time alone is not enough to ensure marathon
success. Runners need a race-plan or pacing plan to achieve this time, a segment
by segment plan for how fast or slow they should run, tailored to the course. A
good pacing plan will help a runner to manage their e ort throughout the race,
segment by segment, hill by hill This is especially important during the crucial
early stages of the marathon, when many go out too fast, and helps to reduce
the risk of hitting the wall later in the race.</p>
      <p>The main contribution of this work is to introduce a novel case-based,
recommender system for helping marathon runners to identify, and plan for, new
personal-best nish-times. We describe how to construct suitable training cases
from conventional race-records, and how to use these cases to predict a PB time
and recommend a tailored pacing plan. We evaluate the results using data from
the last 12 years of the Chicago marathon.</p>
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  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <given-names>B.</given-names>
            <surname>Smyth</surname>
          </string-name>
          and
          <string-name>
            <given-names>P.</given-names>
            <surname>Cunningham</surname>
          </string-name>
          , \
          <article-title>Running with cases: A CBR approach to running your best marathon,"</article-title>
          <source>in Case-Based Reasoning Research and Development - 25th International Conference, ICCBR</source>
          <year>2017</year>
          , Trondheim, Norway, June 26-28,
          <year>2017</year>
          , Proceedings, pp.
          <volume>360</volume>
          {
          <issue>374</issue>
          ,
          <year>2017</year>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>