Sökning: "Nearest Neighbor algorithm"

Visar resultat 1 - 5 av 49 uppsatser innehållade orden Nearest Neighbor algorithm.

  1. 1. Credit Card Fraud Detection by Nearest Neighbor Algorithms

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Ramin Maghsood; [2023-04-13]
    Nyckelord :Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

    Sammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER

  3. 2. Exogenous Fault Detection in Aerial Swarms of UAVs

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Maja Westberg; [2023]
    Nyckelord :Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER

  4. 3. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Alice Jonason; [2023]
    Nyckelord :Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

    Sammanfattning : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. LÄS MER

  5. 4. Identifiering av UNO-kort : En jämförelse av bildigenkänningstekniker

    M1-uppsats, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

    Författare :Yousif Al-Asadi; Jennifer Streit; [2023]
    Nyckelord :Image recognition; CNN; TM; KNN; UNO; YOLOv5; Bildigenkänning; CNN; TM; KNN; UNO; YOLOv5;

    Sammanfattning : Att spela sällskapsspelet UNO är en typ av umgängesform där målet är att trivas. EnUNO-kortlek har 5 olika färger (blå, röd, grön, gul och joker) och olika symboler.Detta kan vara frustrerande för en person med nedsatt färgseende att delta, då enstor andel av spelet är beroende av att identifiera färgen på varje kort. LÄS MER

  7. 5. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alexander Wirdemo; [2023]
    Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER