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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Mahmud, Mir Ibtid, Chowdhury, Onez, Alvee, Yashwant, Sadman, Tawsif, Shaon, Imrul Haque
Άλλοι συγγραφείς:	Ashraf, Faisal Bin
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2022
Θέματα:	Data analysis Geo analytics Decision tree Linear regression analysis K-Means clustering Machine learning
Διαθέσιμο Online:	http://hdl.handle.net/10361/15860

Παρόμοια τεκμήρια

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Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
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LRFMV: an efficient customer segmentation model for superstores
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Customer segmentation using K-means
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Early grade prediction using profile data
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UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
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Identification and comparative analysis of potholes using image processing algorithms
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A novel approach to reduce air pollution through machine learning based PM2.5 prediction
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Έκδοση: (2023)

Generating and compressing images from a large volume of discrete datasets using GANs along with different compression techniques and studying the results
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Έκδοση: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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Έκδοση: (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
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Έκδοση: (2016)

Machine learning for stress prediction
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Intelligent assisted living in pregnancy
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Automated fabric color prediction
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Application of CNN based architectures in detection of distracted drivers
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A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
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A feature selection approach to determine obesity using machine learning method
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Ideal solution of college linear algebra : theory of matrices /
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A voice signal based gender prediction model using random forest classifier
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Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm
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The economics of clusters

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LRFS: online shoppers’ behavior based efficient customer segmentation model
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Data analysis on the Bangladesh share market using Machine-Learning
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Effectiveness of data mining in predicting heart diseases
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Anomaly clustering based on correspondence analysis
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Polycystic ovary syndrome detection using neural network.
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Έκδοση: (2024)

Finding suitable locations for live campaigns using different machine learning techniques
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Weather forecasting using Deep Learning
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Detecting tweet sentiment and sarcasm on online learning during covid-19
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Έκδοση: (2024)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
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Έκδοση: (2021)

LRFMVD : a customer segmentation model
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Fake profile detection in social media using image processing and machine learning
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Flood prediction using machine learning models
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Έκδοση: (2022)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
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Έκδοση: (2019)

Heart disease prediction using techniques of classification in machine learning
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Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
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Έκδοση: (2019)