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- W3213776269 abstract "Selection of an appropriate sector will be a crucial factor for a success of a business. However, due to a lack of knowledge and guidance in selecting a suitable business idea, the business failure rates have been increased. Within this context, this study aims to develop a computerized model based on a data mining approach to suggest the most suitable business idea to avoid inappropriate business selections. In addition, this solution attempts to determine the likelihood of succeeding in a particular business opportunity that someone is willing to start. During the model development, samples of data were gathered by interviewing experts. Furthermore, a structured questionnaire was prepared by considering the various factors affecting the success of a business and it was used to collect data from businessmen in several sectors. By comparing the accuracies of possible applicable models, the Gradient Boosting model was developed to archive the expected results. To increase the model accuracy, a set of business patterns, which were extracted from data analysis were added to the model." @default.
- W3213776269 created "2021-11-22" @default.
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- W3213776269 date "2021-08-11" @default.
- W3213776269 modified "2023-09-26" @default.
- W3213776269 title "A Data Mining Approach to Recommend Idyllic Business Opportunities" @default.
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- W3213776269 doi "https://doi.org/10.1109/iciafs52090.2021.9606107" @default.
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