Essays about: "Customer models"

Showing result 16 - 20 of 664 essays containing the words Customer models.

  1. 16. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

  2. 17. Product Development Of License Plate Holder : In Collaboration With Koenigsegg Automotive AB

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Sofia Gustavsson; Adelina Oschmann; [2023]
    Keywords : Design; Development; CAD; CAE; FEA; Vehicle; License plate;

    Abstract : This report is being conducted in collaboration with Koenigsegg Automotive AB, a company founded in 1994 that manufactures mega cars. This study aims to design a license plate holder for their new car Jesko that comes in two models, Absolut and Track. The license plate holder is to be adapted to a specific country and their regulatory framework. READ MORE

  3. 18. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  4. 19. Circular production investments : What a circular production investment is and how it can be designed

    University essay from KTH/Produktionsutveckling

    Author : Lotta Bohlin; [2023]
    Keywords : Circular investments; production investments; production equipment; circularity; green design; Cirkulära investeringar; produktionsinvesteringar; produktionsutrustning; cirkularitet; grön design;

    Abstract : One of the biggest emitters of greenhouse gas in Sweden is the industry sector, and in order to reach the national and global environmental goals, a change is needed. To become an environmentally sustainable producer, the whole life cycle must be taken into consideration, from choice of resources, to production, to use, and End-of-Life treatment. READ MORE

  5. 20. Prediction Models for TV Case Resolution Times with Machine Learning

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

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE