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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Game Rules Prediction  Winning Strategies Using Decision Tree Algorithms</text>
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              <text>Batsman; Clustering; Indian Premiere League; Profiling; Sport</text>
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              <text>With the availability of extensive data spanning over the years, sports have become an emerging field of research. The application of analytics in cricket has become prominent over the years. Cricket, the most loved sport in India, draws the attention of fans worldwide. The Indian Premier League is no exception. Created in 2008, this franchise-based T20 format of cricket has gripped the attention of cricket enthusiasts. With ardent fans cheering for their favorite teams, teams have mounting pressure to maintain their winning streak. One such team is the beloved Chennai Super Kings. Statistical techniques for winner prediction have become popular over the last decade. In this study, we try to frame decision rules for IPL teams to win a series using the CART algorithm. By considering Chennai Super Kings, this study aims to understand the criteria for winning and identify potential weaknesses, allowing the team to predict the likelihood of winning the IPL series.  2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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          <name>Creator</name>
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              <text>Mansurali A.; Harish V.; Hussain S.; Sharma R.</text>
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              <text>Communications in Computer and Information Science, Vol-1742 CCIS, pp. 12-23.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-031-23647-1_2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-23647-1_2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&amp;amp;doi=10.1007%2F978-3-031-23647-1_2&amp;amp;partnerID=40&amp;amp;md5=03fb8ac11dae7fb0ba1bf93398a89df5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&amp;amp;doi=10.1007%2f978-3-031-23647-1_2&amp;amp;partnerID=40&amp;amp;md5=03fb8ac11dae7fb0ba1bf93398a89df5&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>Restricted Access</text>
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              <text>ISSN: 18650929; ISBN: 978-303123646-4</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Mansurali A., School of Business and Management, Christ University, Bangalore, India; Harish V., PSG Institute of Management PSG College of Technology, Coimbatore, India; Hussain S., School of Business and Management, Christ University, Bangalore, India; Sharma R., Himalayan School of Management Studies, Swami Rama Himalayan University, Dehradun, India</text>
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