Sökning: "Imbalanced Data"

Visar resultat 16 - 20 av 114 uppsatser innehållade orden Imbalanced Data.

  1. 16. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

    Författare :Sofia Färenmark; [2023]
    Nyckelord :Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

    Sammanfattning : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. LÄS MER

  3. 17. Classification of imbalanced disparate medical data using ontology

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ludvig Karlsson; Gustav Wilhelm Kopp Sundin; [2023]
    Nyckelord :Ontology; machine learning; random forest; imbalanced data; oncology; digital transformation;

    Sammanfattning : Through the digitization of healthcare, large volumes of data are generated and stored in healthcare operations. Today, a multitude of platforms and digital infrastructures are used for storage and management of data. The systems lack a common ontology which limits the interoperability between datasets. LÄS MER

  4. 18. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  5. 19. Out of the Books and Into the Woods

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Elisabeth Molin; [2023]
    Nyckelord :Limit Order Book; Cryptocurrency; Random forest; Market Microstructure; Lead-lag; Business and Economics;

    Sammanfattning : The objective of this thesis is to analyze the predictive power of the cryptocurrency limit order book for return predictions. The analysis is performed for the BTC/USD and ETH/USD directional 10-second returns, using limit order book data from three of the largest cryptocurrency spot exchanges. LÄS MER

  7. 20. The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Stephanie Bol; [2023]
    Nyckelord :Machine Learning; Adverse birth outcomes; Stillbirth; Neonatal death; Adama; Ethiopia; Oversampling; Undersampling; Random Forest; Technology and Engineering;

    Sammanfattning : Since Ethiopia has a high number of recorded adverse birth outcomes, the city of Adama was subjected to a study (Flanagan et al., 2022) that gathered data from 2085 pregnancies. This thesis utilizes that data to investigate the usage of machine learning in environmental epidemiology. LÄS MER