Sökning: "klassificering av kunder"
Visar resultat 1 - 5 av 24 uppsatser innehållade orden klassificering av kunder.
1. Clustering and classification of prepaid mortgages
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. LÄS MER
2. Object Classification using Language Models
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : In today’s modern digital world more and more emails and messengers must be sent, processed and handled. The categorizing and classification of these text pieces can take an incredibly long time and will cost the company a lot of time and money. LÄS MER
3. Community Detection in Directed Graphs for Cell-to-Sector Mapping Using Handover Statistics in Mobile Communication Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many use cases in mobile communication networks are dependent on knowledge of which cells serve the same sector. These use cases include network planning, optimization and troubleshooting. Current methods of obtaining knowledge regarding this cell-to-sector mapping are based on naming conventions of cells. LÄS MER
4. Comparing Text Classification Libraries in Scala and Python : A comparison of precision and recall
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In today’s internet era, more text than ever is being uploaded online. The text comes in many forms, such as social media posts, business reviews, and many more. For various reasons, there is an interest in analyzing the uploaded text. For instance, an airline business could ask their customers to review the service they have received. LÄS MER
5. 3D Representation of EyeTracking Data : An Implementation in Automotive Perceived Quality Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The importance of perceived quality within the automotive industry has been rapidly increasing these years. Since judgmentsconcerning perceived quality is a highly subjective process, eye-tracking technology is one of the best approaches to extractcustomers’ subconscious visual activity during interaction with the product. LÄS MER