Essays about: "Classification of Customers"

Showing result 26 - 30 of 99 essays containing the words Classification of Customers.

  1. 26. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications

    University essay from KTH/Numerisk analys, NA

    Author : Martin Jacobson; [2021]
    Keywords : Fraud; Fraud Detection; Imbalanced Learning; Feature Extraction; Extreme Learning Machines; ELM; Machine Learning; ML; Bedrägeri;

    Abstract : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. READ MORE

  3. 27. Increasing Retention in Insurtechs Through Churn Prediction

    University essay from Lunds universitet/Innovationsteknik

    Author : John Rapp Farnes; Oskar Christiansen; [2021]
    Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

    Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

  4. 28. Comparing Text Classification Libraries in Scala and Python : A comparison of precision and recall

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

    Author : Filip Garamvölgyi; August Henning Bruce; [2021]
    Keywords : LaBSE; Spark NLP; NLP; Text classification; Scala; LaBSE; Spark NLP; NLP; Textklassificering; Scala;

    Abstract : In today’s internet era, more text than ever is being uploaded online. The text comes in many forms, such as social media posts, business reviews, and many more. For various reasons, there is an interest in analyzing the uploaded text. For instance, an airline business could ask their customers to review the service they have received. READ MORE

  5. 29. Modeling and understanding customers preference for product sustainability information using Machine Learning techniques

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Vedasree Reddy Sapatapu; Apoorva Kothapally; [2021]
    Keywords : Machine Learning; Data Mining; Sustainability; Customer Preference;

    Abstract : Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. READ MORE

  6. 30. Deep Learning-­Based Traffic Classification for Network Penetration Testing

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Adam Haavik; [2021]
    Keywords : ;

    Abstract : With the increasing amount of computers in society, the need to test and evaluate security of these are crucial to prevent various cyberattacks.  During a penetration test, a common methodology to follow is OSSTMM. Sometimes this method can not be followed in whole. READ MORE