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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Kabir, Tasmia, Nishat, Tahnin, Tory, Saria Bulbul
Άλλοι συγγραφείς:	Ashraf, Faisal Bin
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	Random forest Decision tree Support vector machine Confusion matrix Outlier Machine learning Credit card fraud
Διαθέσιμο Online:	http://hdl.handle.net/10361/15784

Παρόμοια τεκμήρια

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Detection of alzheimer's disease using deep learning
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Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
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Parking data analysis
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Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
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Amazon product reviews sentiment analysis using supervised learning algorithms
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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An introduction to support vector machines : and other kernel-based learning methods /
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Performance analysis of machine learning classi ers for detecting PE malware
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A machine learning approach to detect depression and anxiety using supervised learning
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Heart disease prediction system
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Fighting depression: psychological approaches among Bangladeshi university students
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A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Predicting stock market movement using sentiment analysis of twitter feed
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Έκδοση: (2017)

Early detection of chronic kidney disease using machine learning
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Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
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Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
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Modelling and forecasting energy demand of Bangladesh using AI based algorithms
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Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
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Finding suitable locations for live campaigns using different machine learning techniques
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Diagnosis of cervical cancer using effective hybrid model in Bangladesh
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Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
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A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
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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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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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Detection of mind wandering using EEG signals
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Performance analysis of machine learning algorithms for Malware classification
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Effectiveness of data mining in predicting heart diseases
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Prediction of Epileptic Seizures using digital signal processing and support vector machine
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A feature selection approach to determine obesity using machine learning method
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Έκδοση: (2021)