Finding suitable locations for live campaigns using different machine learning techniques

Finding suitable locations for live campaigns using different machine learning techniques

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

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Qudar, Mohiuddin Md. Abdul, Tazrin, Tahrat, Khanam, Kazi Zainab
Rannpháirtithe:	Chakrabarty, Amitabha
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	BRAC University 2018
Ábhair:	LBSN Live campaigns Location, algorithms SVM Random forest Decision tree Machine learning > Mathematical models.
Rochtain ar líne:	http://hdl.handle.net/10361/10961

Míreanna comhchosúla

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A voice signal based gender prediction model using random forest classifier
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Different campaigns of Pathao Ltd
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Parking data analysis
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A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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Predicting stock market movement using sentiment analysis of twitter feed
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Modelling and forecasting energy demand of Bangladesh using AI based algorithms
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Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
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Predictive location generation using machine learning approach
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A counseling system to predict the study path for freshmen
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Speech emotion detection using supervised, unsupervised and feature selection algorithms
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Sentiment analysis for Bengali newspaper headlines
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Detecting online recruitment fraud by using machine learning
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The planning process for BTL marketing campaigns
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Credit card fraud detection using machine learning techniques
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Performance of campaigns of Pickaboo
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A machine learning approach to predict crime using time and location data
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Comparative analysis on various media campaigns of Grameenphone
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Consumer promotion campaign in digital platform/media
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A hybrid rumor detection model derived from a comparative study of supervised approaches
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Prediction of bipolar disorder from mental episodes using machine learning approach
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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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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The impact of digital marketing on BTL marketing campaigns
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Wall & floor punch location & dimension layout for basement plan
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Operations and marketing campaigning strategies
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A feature selection approach to determine obesity using machine learning method
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Regarding providing boundary line location of land
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Marketing campaigns and activities of Nescafe and Coffee Mate
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Tracking change: A standard of living index for Matlab
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Network based location tracking using MAC address of smart devices
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Cardiovascular disease prediction model using Machine Learning Algorithm
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An advanced hospital rating system using machine learning and natural language processing
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Strategic advertising campaign development at Bangladesh Bank
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Foilsithe / Cruthaithe: (2024)

An internship experience at DhakaLive of The Independent
de réir: Hoque, Farhanul
Foilsithe / Cruthaithe: (2018)

Campaign evaluation of Robi Axiata Limited on winback offer
de réir: Nabila, Nishat
Foilsithe / Cruthaithe: (2016)

The demand-side location determinants for attracting foreign direct investment: theory and empirics
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Foilsithe / Cruthaithe: (2010)

Internship report on Ogilvy & Mather : focusing on marketing campaign
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Foilsithe / Cruthaithe: (2015)