03963nas|a2200469 a 4500 20260817163101.0 161121s2012 th uu m rtt 0| a1eng d .b12174749 AIT RSPR no.CS-15-02 Ei Thaw Win Applying data mining techniques : case studies to predict loan defaults and vehicle quality Pathum Thani, Thailand : Asian Institute of Technology, 2015 41 p. : ill. Research studies project report ; no. CS-15-02 A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2015 Data mining is popularly applied to discover ground truths from huge amounts of data.Data mining techniques in this study are applied to two different problems to study the effectiveness of DM tools with different characteristics from the Bank Industry and Used Cars Market, respectively.The first problem to tackle is the recovery of loans in the banking industry that will predict the expected percentage of return on future loans.The second problem considers the automobile industry. It deals with car dealerships purchasing used vehicles at an auction and predicts the likelihood that the vehicle will be a bad buy.The objectives of this research study is applying data mining tools and techniques to solve the above problems and determine the best method suitable for the characteristics of the problem.In this research paper, data mining models which include k-NN, random forest and support vector machine (SVM) are applied on two different datasets.The goal of this study was to compute the performance of data mining techniques on both problems: binary and multiple classification using the evaluation techniques: classification accuracy, precision, recall and root mean square error.According to the experimental results, the SVM model verifies to have the best performance in both problems; loan default prediction and vehicle quality prediction. Random forest model also performs well in both datasets. The performance of K-NN algorithm is better in vehicle quality prediction than loan default prediction. Data mining Used cars Data processing Guha, Sumanta, Examination Committee Vatcharaporn Esichaikul, Examination Committee Duboz, Raphael, Examination Committee Ministry of Foreign Affair, Norway, Scholarship donor Asian Institute of Technology. Research studies project report ; no. CS-15-02 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B01315 .b12174749 mnait m 240405 0 161121 m a m 0 000:001:PDF:b1217474:002837:0:0:0:0:0:0 Abstract n mnait mnait mnarc mnarc 20 40 61 Barcode : 30050160095070 CREATED : 2016-11-21 RECORD # : i13061203 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050160095088 CREATED : 2016-11-21 RECORD # : i13061215 LPATRON : 1028065 LCHKIN : 2019-10-07 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 1 TOT CHKOUT : 1 TOT RENEW : 8 Barcode : 30050120891410 CREATED : 2020-09-06 RECORD # : i1327370x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : - CREATED : 2020-09-06 RECORD # : i13273711 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 7335 7335 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT RSPR no.CS-15-02 30050160095070 2026-08-17 16:31:01 1 2026-08-17 20 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT RSPR no.CS-15-02 30050160095088 2026-08-17 16:31:01 2 2026-08-17 20 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT RSPR no.CS-15-02 30050120891410 2026-08-17 16:31:01 1 2026-08-17 40 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT RSPR no.CS-15-02 2026-08-17 16:31:01 1 2026-08-17 61