000 03903nas a2200469 a 4500
005 20260818114249.0
008 200707s2017 th uu m rtt 0| a1eng d
035 _a.b12346081
099 9 _aAIT RSPR no.IM-17-10
100 1 _aWijayarathna, Peruma H.S.S.
245 1 2 _aA forecasting system for batsmen playing one-day internation cricket
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a71 p. :
_bill.
490 1 _aResearch studies project report ;
_vno. IM-17-10
500 _aA research submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology
502 _aResearch studies project report (M. Sc.) - Asian Institute of Technology, 2017
520 _aThe growth of the information and the decision-making systems are currently in vogue in the global environment. The emerging areas such as Big Data and Cloud computing are playing a major technological role in handling large data volume and for subsequent analyzing. When the data volume is high, it is important to analyze correct data attributes using different tools and technologies. The concept of data mining is a famous way of collecting, preprocessing and analyzing data, accordingly, in a supervised or unsupervised way. Therefore, machine learning algorithms are being used to manage large data volumes to make better decisions. This research work was focused to develop a model to forecast performance of batsmen playing in one-day international cricket tournaments. After carefully analyzing the current trends and technologies, the model was developed, based , according to the study, among 28 factors, such as Age, Matches won or lost, whether Batting or chasing, Batting position and Bowling style. They were ,inter alia, identified as significant in affecting the performance behavior of batsmen. To develop the model many data mining tools, such as SPSS, Math Lab, WEKA, Orange, R and Python, were identified as suitable. WEKA tool was, anyhow, employed for this research study because it is an open source and is easy to use, compared to others. The study found out, after the development of the model that, there is a correlation between age and the batting position for performance average run per match for a particular player.
650 0 _aDecision-making
_xData processing
650 0 _aBig data
_xAnalysis
650 0 _aCricket
_xData processing
700 1 _aSumanta, Guha,
_eChairperson
700 1 _aDailey, Mathew N.,
_eExamination Committee
700 0 _aVatcharaporn Esichaikul,
_eExamination Committee
710 2 _aTechnical Education Development Project Asian Development Bank,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. IM-17-10
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06935
907 _a.b12346081
_bmnait
_cm
902 _a240419
998 _b0
_c200707
_dm
_ea
_fm
_g2
945 _lmnait
945 _lmnait
945 _lmnarc
945 _lmnarc
942 _c40
942 _c61
942 _c20
909 _aBarcode : 30050120890842
_bCREATED : 2020-06-22
_cRECORD # : i13277273
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : -
_bCREATED : 2020-06-22
_cRECORD # : i13277285
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : 30050120982680
_bCREATED : 2020-07-14
_cRECORD # : i13282207
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : 30050120982672
_bCREATED : 2020-07-14
_cRECORD # : i13282219
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
999 _c46473
_d46473