Sökning: "händelse data"

Visar resultat 1 - 5 av 204 uppsatser innehållade orden händelse data.

  1. 1. Using eye tracking to measure visual responses

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

    Författare :Sebaztian Johansson; Zebastian Kensert Forsman; [2023]
    Nyckelord :;

    Sammanfattning : Eye tracking technology is becoming more accessible in general, presenting new opportunities for applications. Said technology is also a relatively new and unexplored tool that can be used in research to enable insights not previously available. LÄS MER

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

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

    Författare :Luca Colasanti; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

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

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

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

    Sammanfattning : 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. LÄS MER

  4. 4. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Nazar Maksymchuk Netterström; [2023]
    Nyckelord :Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Sammanfattning : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. LÄS MER

  5. 5. En undersökning om meditation och tacksamhet : En kvantitativ studie

    L3-uppsats, Karlstads universitet/Institutionen för sociala och psykologiska studier (from 2013)

    Författare :Merete Fjeldbo; [2023]
    Nyckelord :Meditation; tacksamhet; mindfulness;

    Sammanfattning : En kvantitativ tvärsnittsstudie i form av en digital enkätundersökning har genomförts med syftet att undersöka en eventuell skillnad i självskattad tacksamhet mellan personer som mediterar och personer som inte mediterar. Tacksamhet kan beskrivas som uppskattning och en känsla av tacksamhet i vardagen, såväl som en tacksam respons på en händelse som uppfattas som välgörande (Bartholomew et al. LÄS MER