Business revenue prediction : a dase study of restaurant Franchises | |
| Author | Agarwal, Shilpa |
| Call Number | AIT RSPR no.IM-16-01 |
| Subject(s) | Machine learning--Case studies Data mining |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-16-01 |
| Abstract | This research study examined the problem of predicting the revenue of a proposed new business. In particular, this study addressed the case of a restaurant franchise and attempted to develop efficient and reliable techniques to predict revenue at a proposed location based on historical data of existing franchise locations. Various techniques including Support Vector Machine, Random Forest, Logistic Regression and Linear Regression were evaluated with the R Programming tool. This study adapted an approach which included data preprocessing, selections of best suitable mode, model validation and performance evaluation and bias correction of the outputs. In data preprocessing, certain characteristics of the data set were examined and potential fixes with different techniques were provided. Evaluation of various models indicated that Random Forest shows the best performance. In reality lowering the RMSE is not the only consideration when creating a model, interpretability and speed also matter. The results obtained here can further be improved using various data mining techniques, ensembles techniques or applying bias correction methods. |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-16-01 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Esichaikul, Vatcharaporn ;Anutariya, Chutiporn ; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research studies project report (M. Sc.) - Asian Institute of Technology, 2016 |