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dc.contributor.advisorอรสา พัสดุ,อาจารย์ที่ปรึกษาโครงงาน
dc.date.accessioned2024-08-08T06:52:56Z
dc.date.available2024-08-08T06:52:56Z
dc.date.issued2566
dc.identifier.urihttp://dspace.rmutk.ac.th/handle/123456789/4761
dc.description.abstractProject DECISION SUPPORT SYSTEM FOR CAR BUYING Author Mr. Pattarapon Khasmas Mr. Assanee Panjaitham Major Information Technology Advisor Asst. Prof. Dr. Orasa Patsadu Academic Year 2023 Abstract This project develops Decision support system for car buying in are of Bangkok. This project collects data using questionnaire to build model for decision support of cay buying and car type using data mining technique to compare performance of model. This project uses decision tree, k-nearest neighbors, and support vector machine. From the result shows that decision tree model is high accuracy than other classifiers with accuracy of 82.4% for car buying model. In addition, decision is also high accuracy than other classifiers with accuracy of 6 2 . 2 % for car type model. Therefore, this project uses decision tree model to develop Decision support system for car buying.en_US
dc.description.sponsorshiplibrary.oarit@mail.rmutk.ac.then_US
dc.language.isootheren_US
dc.publisherมหาวิทยาลัยเทคโนโลยีราชมงคลกรุงเทพ. คณะวิทยาศาสตร์และเทคโนโลยี. สาขาวิชาเทคโนโลยีสารสนเทศen_US
dc.subjectโครงงานปริญญาตรี - ปีการศึกษา 2566en_US
dc.subjectCar buyingen_US
dc.subjectDecision treeen_US
dc.subjectDecision support systemen_US
dc.titleDECISION SUPPORT SYSTEM FOR CAR BUYINGen_US
dc.title.alternativeDECISION SUPPORT SYSTEM FOR CAR BUYINGen_US
dc.typeOtheren_US


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