Sökning: "Imbalanced Data"
Visar resultat 6 - 10 av 114 uppsatser innehållade orden Imbalanced Data.
6. Optimizing ERP Recommendations Using Machine Learning Techniques
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. LÄS MER
7. Performance comparison of data mining algorithms for imbalanced and high-dimensional data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER
8. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. LÄS MER
9. The Demos Index
Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionenSammanfattning : Democracy is both a question of who the people are (demos) and how they rule (kratos); our understanding of democracy is imbalanced in favour of the latter. The aim of this thesis is to conduct a pilot project evaluating and comparing the level of democracy from a demos perspective through an index. LÄS MER
10. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. LÄS MER