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dc.contributor.advisorIslam, Samiul
dc.contributor.authorIslam, Md Sami Ul
dc.contributor.authorAbib, Md. Shariful Huq
dc.date.accessioned2019-07-14T03:23:03Z
dc.date.available2019-07-14T03:23:03Z
dc.date.copyright2019
dc.date.issued2019-04
dc.identifier.otherID 12201033
dc.identifier.otherID 14201059
dc.identifier.urihttp://hdl.handle.net/10361/12350
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 31).
dc.description.abstractFood business has expanded drastically over the years. It’s safe to say that you never have to make a loss for a restaurant business today onwards. People have become food lovers and they are always in search of new dishes and different tastes. From business meetings to engagement proposals to school assignments- all are happening over a cup of coffee or during lunch or dinner. So, it’s worth a try to understand this food culture globally. Because food represents the culture. Taste and method represent the history of a country. Price-variation tells us about the overall economy. Watching these scenarios nowadays, we got encouraged to study on people around the world to find out where they are on the same page in terms of food consumption. Which types of cuisines got popular worldwide and what are the reasons. Are the prices and environments similar to the same type of cuisines everywhere? We have adequate data of great variation to analyze these factors. We will take the help of statistic formulas and several machine learning techniques to accomplish our project.en_US
dc.description.statementofresponsibilityMd Sami Ul Islam
dc.description.statementofresponsibilityMd. Shariful Huq Abib
dc.format.extent31 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectFood businessen_US
dc.subjectRestauranten_US
dc.subjectKaggleen_US
dc.subject.lcshDatabase management.
dc.subject.lcshDistributed databases.
dc.subject.lcshBusiness and Economics / Industrial Management.
dc.titleCross-cultural comparison of food appetite and restaurant featuresen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science and Engineering


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