Predicting a T20 cricket match result while the match is in progress
Cataloged from PDF version of thesis report.
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10361-43722022-01-26T10:21:51Z Predicting a T20 cricket match result while the match is in progress Munir, Fahad Hasan, Md. Kamrul Ahmed, Sakib Md. Quraish, Sultan Biswas, Rubel Mostakim, Moin Department of Computer Science and Engineering, BRAC University Data mining Forecasting Results IPL Linear Regression Machine learning Computer science and engineering T20 cricket Cataloged from PDF version of thesis report. Includes bibliographical references (page 55-56). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. Data Mining and Machine learning in Sports Analytics, is a brand new research field in Computer Science with a lot of challenge. In this research the goal is to design a result prediction system for a T20 cricket match while the match is in progress. Different machine learning and statistical approach were taken to find out the best pos- sible outcome. A very popular data mining algorithm, decision tree were used in this research along with Multiple Linear Regression in order to make a comparison of the results found. These two model are very much popular in predictive modeling. Forecasting a T20 cricket match is a challenge as the momentum of the game can change dras- tically at any moment. As no such work has done regarding this for- mat of cricket, we have decided to take the challenge as T20 cricket matches are very much popular now a days. We are using decision tree algorithm to design our forecasting system by depending on the previous data of matches played between the teams. This system will help the teams to take major decision when the match is in progress such as when to send which batsman or which bowler to bowl in the middle overs. It significantly expands the exposure of research in sports analytics as it was previously bound between some other selected sports. Fahad Munir Md. Kamrul Hasan Sakib Ahmed Sultan Md. Quraish B. Computer Science and Engineering 2015-09-03T06:38:44Z 2015-09-03T06:38:44Z 2015 8/23/2015 Thesis ID 11201014 ID 11201032 ID 11201009 ID 11201017 http://hdl.handle.net/10361/4372 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 56 pages application/pdf BRAC University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Data mining Forecasting Results IPL Linear Regression Machine learning Computer science and engineering T20 cricket |
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Data mining Forecasting Results IPL Linear Regression Machine learning Computer science and engineering T20 cricket Munir, Fahad Hasan, Md. Kamrul Ahmed, Sakib Md. Quraish, Sultan Predicting a T20 cricket match result while the match is in progress |
description |
Cataloged from PDF version of thesis report. |
author2 |
Biswas, Rubel |
author_facet |
Biswas, Rubel Munir, Fahad Hasan, Md. Kamrul Ahmed, Sakib Md. Quraish, Sultan |
format |
Thesis |
author |
Munir, Fahad Hasan, Md. Kamrul Ahmed, Sakib Md. Quraish, Sultan |
author_sort |
Munir, Fahad |
title |
Predicting a T20 cricket match result while the match is in progress |
title_short |
Predicting a T20 cricket match result while the match is in progress |
title_full |
Predicting a T20 cricket match result while the match is in progress |
title_fullStr |
Predicting a T20 cricket match result while the match is in progress |
title_full_unstemmed |
Predicting a T20 cricket match result while the match is in progress |
title_sort |
predicting a t20 cricket match result while the match is in progress |
publisher |
BRAC University |
publishDate |
2015 |
url |
http://hdl.handle.net/10361/4372 |
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