Credit card fraud detection using machine learning techniques

Credit card fraud detection using machine learning techniques

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:	Kabir, Tasmia, Nishat, Tahnin, Tory, Saria Bulbul
Andere auteurs:	Ashraf, Faisal Bin
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Random forest Decision tree Support vector machine Confusion matrix Outlier Machine learning Credit card fraud
Online toegang:	http://hdl.handle.net/10361/15784

Gelijkaardige items

Detecting online recruitment fraud by using machine learning
door: Ghosh, Gitanjali, et al.
Gepubliceerd in: (2021)

Fraud detection in E-commerce using natural language processing
door: Kabir, Iftekhar, et al.
Gepubliceerd in: (2023)

Machine learning-based approach on predicting online shopping addiction using EEG signals
door: Nawer, Nafisa, et al.
Gepubliceerd in: (2023)

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

A hybrid rumor detection model derived from a comparative study of supervised approaches
door: Aothoi, Mehzabin Sadat, et al.
Gepubliceerd in: (2023)

Detection of alzheimer's disease using deep learning
door: Hasan, Mahmudul, et al.
Gepubliceerd in: (2021)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
door: Al Amin, Istiak, et al.
Gepubliceerd in: (2022)

Parking data analysis
door: Ahamed, Kasfi, et al.
Gepubliceerd in: (2023)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
door: Hussain, Nadib, et al.
Gepubliceerd in: (2018)

Amazon product reviews sentiment analysis using supervised learning algorithms
door: Hawladar, Mohibullah, et al.
Gepubliceerd in: (2021)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
door: Turjo, Aquib Abtahi, et al.
Gepubliceerd in: (2021)

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

A counseling system to predict the study path for freshmen
door: Usha, Rowshni Tasneem, et al.
Gepubliceerd in: (2019)

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

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

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

Heart disease prediction system
door: Amit, Tayab Al Azad, et al.
Gepubliceerd in: (2022)

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

Fighting depression: psychological approaches among Bangladeshi university students
door: Sen, Sanjib Kumar, et al.
Gepubliceerd in: (2022)

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

Analysis of the impact of online education using EEG signals and machine learning algorithms
door: Hoque, Ehsanul, et al.
Gepubliceerd in: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
door: Chakraborty, Pranjal, et al.
Gepubliceerd in: (2017)

Early detection of chronic kidney disease using machine learning
door: Abrar, Tahmid, et al.
Gepubliceerd in: (2019)

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

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

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

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
door: Niloy, Ahashan Habib, et al.
Gepubliceerd in: (2021)

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

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
door: Saad-Ul-Kabir, Syed, et al.
Gepubliceerd in: (2021)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
door: Sarkar, Ripa, et al.
Gepubliceerd in: (2024)

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

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)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
door: Tasnim, Anika, et al.
Gepubliceerd in: (2022)

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)

Detection of mind wandering using EEG signals
door: Tasika, Nadia Jebin, et al.
Gepubliceerd in: (2020)

Performance analysis of machine learning algorithms for Malware classification
door: Bushra, Raisa Hasan, et al.
Gepubliceerd in: (2023)

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

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

Prediction of Epileptic Seizures using digital signal processing and support vector machine
door: Siddique, Nusayer Masud, 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)