Finding ideal geographical location for businesses using machine learning technique

Finding ideal geographical location for businesses using machine learning technique

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs:	Mahmud, Mir Ibtid, Chowdhury, Onez, Alvee, Yashwant, Sadman, Tawsif, Shaon, Imrul Haque
Andere auteurs:	Ashraf, Faisal Bin
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2022
Onderwerpen:	Data analysis Geo analytics Decision tree Linear regression analysis K-Means clustering Machine learning
Online toegang:	http://hdl.handle.net/10361/15860

Gelijkaardige items

Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
door: Tabassum, Tahia, et al.
Gepubliceerd in: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
door: Shihab, Ibne Farabi, et al.
Gepubliceerd in: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
door: Imam, Saif
Gepubliceerd in: (2021)

Identifying the best metrics to find the best quality clusters of genes from gene expression data
door: Choudhury, Joydhriti, et al.
Gepubliceerd in: (2019)

LRFMV: an efficient customer segmentation model for superstores
door: Toyeb, Md., et al.
Gepubliceerd in: (2021)

Customer segmentation using K-means
door: Mahdee, Nafis, et al.
Gepubliceerd in: (2022)

Early grade prediction using profile data
door: Iqbal, Sumaiya, et al.
Gepubliceerd in: (2021)

UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
door: Araf, Sadman, et al.
Gepubliceerd in: (2021)

Identification and comparative analysis of potholes using image processing algorithms
door: Anik, Fahim Shahriare, et al.
Gepubliceerd in: (2018)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
door: Alif, Omar Farhad, et al.
Gepubliceerd in: (2023)

Generating and compressing images from a large volume of discrete datasets using GANs along with different compression techniques and studying the results
door: Sajid, Mayeen Abedin, et al.
Gepubliceerd in: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
door: Rahee, Arnob, et al.
Gepubliceerd in: (2021)

Pilot study on the development of a low cost land observation and geo-information retrieval system for emergency monitoring of agricultural crop and disaster-induced damages
door: Haque, Md. Mojammel, et al.
Gepubliceerd in: (2016)

Machine learning for stress prediction
door: Salehin, Sherajus, et al.
Gepubliceerd in: (2023)

Intelligent assisted living in pregnancy
door: Zaman, S. M. Tanveer, et al.
Gepubliceerd in: (2022)

Automated fabric color prediction
door: Muhtashima, Fawzia, et al.
Gepubliceerd in: (2024)

Application of CNN based architectures in detection of distracted drivers
door: Arafin, Irfana, et al.
Gepubliceerd in: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
door: Farabe, Abdullah Al, et al.
Gepubliceerd in: (2021)

A feature selection approach to determine obesity using machine learning method
door: Antor, Shahidul Alam, et al.
Gepubliceerd in: (2021)

Ideal solution of college linear algebra : theory of matrices /
door: Rahman, Md. Abdur
Gepubliceerd in: (1986)

A voice signal based gender prediction model using random forest classifier
door: Ahmed, Saif, et al.
Gepubliceerd in: (2018)

Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm
door: Haider, Mofiz Mojib, et al.
Gepubliceerd in: (2021)

The economics of clusters

Geo-politics, democratization and external influence: the Bangladesh case
door: Chowdhury, Faiz Ahmed
Gepubliceerd in: (2019)

LRFS: online shoppers’ behavior based efficient customer segmentation model
door: Khan, Riyo Hayat
Gepubliceerd in: (2023)

Data analysis on the Bangladesh share market using Machine-Learning
door: Sadman, Syed Hassan, et al.
Gepubliceerd in: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
door: Arefin Mirdha, MD Shamsul
Gepubliceerd in: (2023)

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

Anomaly clustering based on correspondence analysis
door: Islam, Humayra
Gepubliceerd in: (2018)

Polycystic ovary syndrome detection using neural network.
door: Istiyaq, Tahsin, et al.
Gepubliceerd in: (2024)

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

Weather forecasting using Deep Learning
door: Fahad, Sheikh Abdul, et al.
Gepubliceerd in: (2023)

Detecting tweet sentiment and sarcasm on online learning during covid-19
door: Das, Shishir Kumar, et al.
Gepubliceerd in: (2024)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
door: Mahmud, Mahmudul Hasan
Gepubliceerd in: (2021)

LRFMVD : a customer segmentation model
door: Sagor, Kawsar Mahmud, et al.
Gepubliceerd in: (2023)

Fake profile detection in social media using image processing and machine learning
door: Sen, Shuva, et al.
Gepubliceerd in: (2021)

Flood prediction using machine learning models
door: Syeed, Miah Mohammad Asif, et al.
Gepubliceerd in: (2022)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
door: Mahmud, Booshra Nazifa, et al.
Gepubliceerd in: (2019)

Heart disease prediction using techniques of classification in machine learning
door: Afrose, Sadia, et al.
Gepubliceerd in: (2021)

Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
door: Rahman, Alvee, et al.
Gepubliceerd in: (2019)