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

Currently, blended food has been a common menu item in fast food restau-rants. The sales of the fast-food industry grow thanks to several sales strate-gies, including the “combos”, so, specialty, regional, family and buffet restaurants are even joining combos’ promotions. This research paper present...

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Main Authors: Rosa Maria VAZQUEZ, Edmundo BONILLA, Eduardo SANCHEZ, Oscar ATRIANO, Cinthya BERRUECOS
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2019-06-01
Series:Applied Computer Science
Subjects:
Online Access:http://ptpw.org.pl/sobaszek/acs15_2/07.pdf
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spelling doaj-ddacedd7dd42459d8e765c88d4bfc4aa2020-11-25T00:35:43ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772019-06-01152738810.23743/acs-2019-15APPLICATION 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 DINERSRosa Maria VAZQUEZ0Edmundo BONILLA1Eduardo SANCHEZ2Oscar ATRIANO3Cinthya BERRUECOS4Tecnológico Nacional de México, Campus Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México, rvazlean@hotmail.comTecnológico Nacional de México, Campus Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México, edbonn@hotmail.comTecnológico Nacional de México, Campus Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México, esanlu@hotmail.com Smartsoft America BA, Calle Adolfo López Mateos, Texcacoac, 90806 Chiautempan, México, oatriano@smartsoftamerica.com.mxSmartsoft America BA, Calle Adolfo López Mateos, Texcacoac, 90806 Chiautempan, México, cberruecos@smartsoftamerica.com.mxCurrently, blended food has been a common menu item in fast food restau-rants. The sales of the fast-food industry grow thanks to several sales strate-gies, 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 elab-orate 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.http://ptpw.org.pl/sobaszek/acs15_2/07.pdfData Miningassociation rulesapriori algorithmcombosWebService
collection DOAJ
language English
format Article
sources DOAJ
author Rosa Maria VAZQUEZ
Edmundo BONILLA
Eduardo SANCHEZ
Oscar ATRIANO
Cinthya BERRUECOS
spellingShingle Rosa Maria VAZQUEZ
Edmundo BONILLA
Eduardo SANCHEZ
Oscar ATRIANO
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
Data Mining
association rules
apriori algorithm
combos
WebService
author_facet Rosa Maria VAZQUEZ
Edmundo BONILLA
Eduardo SANCHEZ
Oscar ATRIANO
Cinthya BERRUECOS
author_sort Rosa Maria VAZQUEZ
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Polish Association for Knowledge Promotion
series Applied Computer Science
issn 1895-3735
2353-6977
publishDate 2019-06-01
description Currently, blended food has been a common menu item in fast food restau-rants. The sales of the fast-food industry grow thanks to several sales strate-gies, 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 elab-orate 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.
topic Data Mining
association rules
apriori algorithm
combos
WebService
url http://ptpw.org.pl/sobaszek/acs15_2/07.pdf
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