Sökning: "transactions and statistical learning"

Hittade 5 uppsatser innehållade orden transactions and statistical learning.

  1. 1. Anomaly Detection in Financial Transaction Time Series Data

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Leyla Abdul Kader; [2023]
    Nyckelord :;

    Sammanfattning : This master thesis investigates two methods of anomaly detection on financial time series data. It aims to determine an optimal method for anomaly detection with the purpose of flagging anomalous transactions within foreign exchange trading data. It also aims to determine whether the data points flagged as anomalies have any commonalities. LÄS MER

  3. 2. Using K-Nearest-Neighbor with valuation metrics to detect similarities between stock performances

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

    Författare :Majd Jamal; [2020]
    Nyckelord :;

    Sammanfattning : Algorithmic trading has increased in popularity since the publication of Agent-Human Interactions in the Continuous Double Auction by IBM researchers Das et al. (2001). Today many investors acquire algorithms that act on their behalf on the stock markets. LÄS MER

  4. 3. Fraud or Not?

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Thea Åkerblom; Tobias Thor; [2019]
    Nyckelord :Logistic Regression; K-Nearest Neighbour; classification; random forest; fraud; transactions and statistical learning;

    Sammanfattning : This paper uses statistical learning to examine and compare three different statistical methods with the aim to predict credit card fraud. The methods compared are Logistic Regression, K-Nearest Neighbour and Random Forest. LÄS MER

  5. 4. Customer Lifetime Value Prediction Using Statistical Modeling: Predicting Online Payments in an Industry Setting

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

    Författare :Alina SUSOYKINA; [2018]
    Nyckelord :customer lifetime value; statistical modeling; machine learning; customer relationship management; Pareto NBD; kundens livstidsvärde; statistisk modellering; maskininlärning; hantering av kundrelationer; Pareto NBD;

    Sammanfattning : Customer lifetime value (CLV) provides a measure of customer revenue contribution. It allows to justify marketing campaigns, overall budgeting, and strategy planning. CLV is an estimated cash flow attributed to the entire relationship with customers in the future. LÄS MER

  7. 5. Statistical learning procedures for analysis of residential property price indexes

    Master-uppsats, KTH/Matematisk statistik

    Författare :Otto Rydén; [2017]
    Nyckelord :;

    Sammanfattning : Residential Price Property Indexes (RPPIs) are used to study the price development of residential property over time. Modeling and analysing an RPPI is not straightforward due to residential property being a heterogeneous good. LÄS MER