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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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 |
work_keys_str_mv |
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