Essays about: "Imbalanced Data"
Showing result 1 - 5 of 111 essays containing the words Imbalanced Data.
-
1. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. READ MORE
-
2. Improving echocardiogram view classification using diffusion models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE
-
3. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE
-
4. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
University essay from KTH/Matematik (Avd.)Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE
-
5. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
University essay from KTH/Matematisk statistikAbstract : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. READ MORE