Essays about: "purchase prediction"

Showing result 1 - 5 of 18 essays containing the words purchase prediction.

  1. 1. Decoding the Winning Strategy - An in-depth study of Swedish closed-end funds

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Fredrik Stenberg; Markus Albert; [2023]
    Keywords : Closed-end funds; predictability of stock returns; predicting investor targets; active ownership; Business and Economics;

    Abstract : The predictability of stock returns, prediction of buyout targets and value creation by activist owners are well-researched areas. However, Swedish closed-end funds' outstanding performance has received little attention. READ MORE

  3. 2. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Amanda Rudälv; [2023]
    Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Abstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE

  4. 3. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

  5. 4. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data

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

    Author : Sebastian Mueller; [2021]
    Keywords : Machine learning; recommender system; cold-start; mobile application; user telemetry; Maskininlärning; rekommendationssystem; kallstart; mobilapplikation; användartelemetri;

    Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE

  6. 5. Factors Affecting the Preference of Buying Hybrid and Electric Vehicles

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Zhenyu Zhao; [2021]
    Keywords : Electric Vehicles; Multiple Correspondence Analysis; Logistic regression; Random forest;

    Abstract : Electric Vehicles is regarded as an important solution for emission reduction. But, the adoption to it is still a problem in many countries. READ MORE