Essays about: "Obalanserade Dataset"

Showing result 1 - 5 of 13 essays containing the words Obalanserade Dataset.

1. 1. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ehsan Nazeriha; [2023]
   Keywords : GAN; Deep Learning; Variational Autoencoder; Anomaly Detection; SMOTE; GAN; Djupinlärning; Variational Autoencoder; Anomali detektering; SMOTE;

   Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE

3. 2. Predicting Customer Satisfaction in the Context of Last-Mile Delivery using Supervised and Automatic Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Carl Höggren; [2022]
   Keywords : Last-mile Delivery; Customer Satisfaction; Supervised Machine Learning; Automatic Machine Learning; Imbalanced Datasets; Sista-milen Leveranser; Kundnöjdhet; Övervakad Maskininlärning; Automatiserad Maskininlärning; Obalanserade Dataset;

   Abstract : The prevalence of online shopping has steadily risen in the last few years. In response to these changes, last-mile delivery services have emerged that enable goods to reach customers within a shorter timeframe compared to traditional logistics providers. READ MORE

4. 3. Interaction-Aware Vehicle Trajectory Prediction via Attention Mechanism and Beyond

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Wenxuan Wu; [2022]
   Keywords : Trajectory Prediction; Dynamics Features; Interaction Features; Self-Attention Mechanism; Banförutsägelse; Dynamiska Funktioner; Interaktions Funktioner; Självuppmärksamhets;

   Abstract : With the development of autonomous driving technology, vehicle trajectory prediction has become a hot topic in the intelligent traffic area. However, complex road conditions may bring multiple challenges to the vehicle trajectory prediction model. READ MORE

5. 4. Text Classification of Human Resources-related Data with Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Christine Rosquist; [2021]
   Keywords : ;

   Abstract : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. READ MORE

6. 5. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sofia Nord; [2021]
   Keywords : Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

   Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE