Sökning: "Recursive Neural Network"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Recursive Neural Network.

  1. 1. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Oskar Nilsson; Benjamin Lilje; [2023]
    Nyckelord :Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

    Sammanfattning : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. LÄS MER

  3. 2. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Klara Larsson; Freja Ling; [2023]
    Nyckelord :Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

    Sammanfattning : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. LÄS MER

  4. 3. Employee Churn Prediction in Healthcare Industry using Supervised Machine Learning

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

    Författare :Anna Gentek; [2022]
    Nyckelord :Employee churn; Churn Prediction; Predictive modeling; Machine learning; Deep-Learning; Data mining; Binary Classification; Personalomsättning; Avhoppsanalys; Prediktiv Modellering; Maskininlärning; Datautvinning; Binär Klassificering;

    Sammanfattning : Given that employees are one of the most valuable assets of any organization, losing an employee has a detrimental impact on several aspects of business activities. Loss of competence, deteriorated productivity and increased hiring costs are just a small fraction of the consequences associated with high employee churn. LÄS MER

  5. 4. Forecasting anomalies in time series data from online production environments

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Raymond Sseguya; [2020]
    Nyckelord :Infor Sweden AB; time series forecasting; anomaly detection; ARIMA; neural network autoregression; eXtreme Gradient Boosting package;

    Sammanfattning : Anomaly detection on time series forecasts can be used by many industries in especially forewarning systems that can predict anomalies before they happen. Infor (Sweden) AB is software company that provides Enterprise Resource Planning cloud solutions. LÄS MER

  7. 5. Testing AI-democratization : What are the lower limits of textgeneration using artificial neural networks?

    Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Datavetenskap

    Författare :Lorentz Kinde; [2019]
    Nyckelord :;

    Sammanfattning : Articial intelligence is an area of technology which is rapidly growing. Considering it'sincreasing inuence in society, how available is it? This study attempts to create a web contentsummarizer using generative machine learning. LÄS MER