ISSN 2353-6977 (Online)
Currently, blended food has been a common menu item in fast food restaurants. The sales of the fast-food industry grow thanks to several sales strategies, including the “combos”, so, specialty, regional, family and buffet restaurants are even joining combos’ promotions. This research paper presents the implementation of a system that will serve as support to elaborate combos according to the preferences of the diners using data mining techniques to find relationships between the different dishes that are offered in a restaurant. The software resulting from this research is being used by the mobile application Food Express, with which it communicates through webservices.
- APA 6th style
Vazquez, R. M., Bonilla, E., Sanchez, E., Atriano, O., & Berruecos, C. (2019). Application of data mining techniques to find relationships between the dishes offered by a restaurant for the elaboration of combos based on the preferences of the diners. Applied Computer Science, 15(2), 73-88. doi:10.23743/acs-2019-15
- Chicago style
Vazquez, Rosa Maria, Edmundo Bonilla, Eduardo Sanchez, Oscar Atriano, and Cinthya Berruecos. "Application of Data Mining Techniques to Find Relationships between the Dishes Offered by a Restaurant for the Elaboration of Combos Based on the Preferences of the Diners." Applied Computer Science 15, no. 2 (2019): 73-88.
- IEEE style
R. M. Vazquez, E. Bonilla, E. Sanchez, O. Atriano, and C. Berruecos, "Application of data mining techniques to find relationships between the dishes offered by a restaurant for the elaboration of combos based on the preferences of the diners," Applied Computer Science, vol. 15, no. 2, pp. 73-88, 2019, doi: 10.23743/acs-2019-15.
- Vancouver style
Vazquez RM, Bonilla E, Sanchez E, Atriano O, Berruecos C. Application of data mining techniques to find relationships between the dishes offered by a restaurant for the elaboration of combos based on the preferences of the diners. Applied Computer Science. 2019;15(2):73-88.
| < Prev | Next > |
|---|
