Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Dettagli Bibliografici
Autori principali:	Shihab, Ibne Farabi, Oishi, Maliha Moonwara
Altri autori:	Arif, Hossain
Natura:	Tesi
Lingua:	English
Pubblicazione:	BRAC University 2018
Soggetti:	Vector Machine Decision Tree Logistic regression Restaurant Geographical location Machine learning Data mining
Accesso online:	http://hdl.handle.net/10361/10951

Documenti analoghi

Location,time and preference aware restaurant recommendation method
di: Habib, Md. Ahsan, et al.
Pubblicazione: (2017)

Predictive location generation using machine learning approach
di: Hasan, S.A.M Khaled, et al.
Pubblicazione: (2018)

A machine learning approach to predict crime using time and location data
di: Shama, Nishat
Pubblicazione: (2017)

Aspect based opinion mining on restaurant reviews
di: Tonmoy, Sazid Hasan, et al.
Pubblicazione: (2024)

An effective machine learning approach for sentiment analysis of restaurant reviews
di: Karim, Rabita
Pubblicazione: (2018)

Business location recommendation using check-in data
di: Ahmed, Nasim Uddin, et al.
Pubblicazione: (2018)

Red Tomato Restaurant: struggles of restaurants in the Covid-19 era
di: Alam, Saif
Pubblicazione: (2021)

An introduction to support vector machines : and other kernel-based learning methods /
di: Cristianini, Nello
Pubblicazione: (2000)

Finding suitable locations for live campaigns using different machine learning techniques
di: Qudar, Mohiuddin Md. Abdul, et al.
Pubblicazione: (2018)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
di: Ahmed, Sajjad
Pubblicazione: (2019)

Parking data analysis
di: Ahamed, Kasfi, et al.
Pubblicazione: (2023)

A machine learning approach to detect depression and anxiety using supervised learning
di: Ullas, Md Tahmidur Rahman, et al.
Pubblicazione: (2019)

A machine learning approach to predict movie box-office success
di: Quader, Nahid, et al.
Pubblicazione: (2018)

Finding ideal geographical location for businesses using machine learning technique
di: Mahmud, Mir Ibtid, et al.
Pubblicazione: (2022)

The affiliation report on “a study on human resource management practices of the Bay Rose Gourmet Restaurant
di: Ahmed, Saddam
Pubblicazione: (2019)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
di: Ahmed, Md. Sabbir, et al.
Pubblicazione: (2021)

N.P.K. based crop suggesting model
di: Iftekher, Asif, et al.
Pubblicazione: (2020)

Wall & floor punch location & dimension layout for basement plan
di: Electro-Mechanical Control Services (EMCS)
Pubblicazione: (2023)

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
di: Sultana Nishi, Razia, et al.
Pubblicazione: (2016)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
di: Amiz, Asef Hassan, et al.
Pubblicazione: (2021)

Cyberbullying detection using sentiment analysis in social media
di: Sintaha, Mifta, et al.
Pubblicazione: (2016)

Regarding providing boundary line location of land
di: BUCG-ABC Joint Venture (BUCG-ABC JV)
Pubblicazione: (2023)

Design and implementation of a F-Commerce restaurant application
di: Khan, Mushfiquzzaman, et al.
Pubblicazione: (2018)

Credit card fraud detection using machine learning techniques
di: Kabir, Tasmia, et al.
Pubblicazione: (2021)

A thesis on utilizing machine learning models to predict material hardship
di: Das, Tirtha
Pubblicazione: (2024)

Network based location tracking using MAC address of smart devices
di: Chowdhury, Md. Abu Hena, et al.
Pubblicazione: (2018)

Prediction of Epileptic Seizures using digital signal processing and support vector machine
di: Siddique, Nusayer Masud, et al.
Pubblicazione: (2021)

Effectiveness of data mining in predicting heart diseases
di: Afrin, Shahria, et al.
Pubblicazione: (2018)

A machine learning approach to predict young voter enthusiasm based on non-political factors
di: Rahman, Md. Nowroz Junaed, et al.
Pubblicazione: (2021)

Performance analysis of machine learning classi ers for detecting PE malware
di: Azmee, ABM.Adnan, et al.
Pubblicazione: (2020)

The demand-side location determinants for attracting foreign direct investment: theory and empirics
di: Hoque, Anwarul
Pubblicazione: (2010)

Where NGOs go and do not go?
di: Mallick, Debdulal, et al.
Pubblicazione: (2019)

An Architecture for M2M Communications over Cellular Networks Using Clustering and Hybrid TDMA-NOMA
di: Rozario, Anthonya Barsha
Pubblicazione: (2021)

Customer satisfaction in the restaurant industry: an examination of the transaction-specific model
di: Andaleeb, Syed Saad, et al.
Pubblicazione: (2016)

Determination of prevalence and antibiotic susceptibility pattern of the bacterial isolates collected from different parts of restaurant refrigerators of Mohakhali, Dhaka, Bangladesh
di: Sultana, Rokeya
Pubblicazione: (2018)

Travel time prediction using machine learning and weather impact on traffic conditions
di: Deb, Bilash, et al.
Pubblicazione: (2018)

Supervising vehicle using pattern recognition
di: Lushan, Mihodi Hasan, et al.
Pubblicazione: (2018)

Cross-cultural comparison of food appetite and restaurant features
di: Islam, Md Sami Ul, et al.
Pubblicazione: (2019)

Classi cation of magnetic configurations using machine learning algorithms
di: Bokul, Saffat, et al.
Pubblicazione: (2019)

Infill material in the sunken area (CM4 locations)
di: Brac University
Pubblicazione: (2023)