Essays about: "Classification of Customers"

Showing result 36 - 40 of 99 essays containing the words Classification of Customers.

  1. 36. Bank Customer Churn Prediction : A comparison between classification and evaluation methods

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Isabelle Tandan; Erika Goteman; [2020]
    Keywords : machine learning; cross-validation; k-fold; leave-one-out; random forest; decision trees; k-nearest neighbor; logistic regression; supervised learning; supervised statistical learning; binary classification; customer churn; bank customer churn.;

    Abstract : This study aims to assess which supervised statistical learning method; random forest, logistic regression or K-nearest neighbor, that is the best at predicting banks customer churn. Additionally, the study evaluates which cross-validation set approach; k-Fold cross-validation or leave-one-out cross-validation that yields the most reliable results. READ MORE

  3. 37. Improving the Material Handling Performance through Redesigning an Inventory Layout : A case study on Proton Finishing Forsheda

    University essay from Linköpings universitet/Produktionsekonomi

    Author : Sindy Nguyen; [2020]
    Keywords : Inventory layout; material handling performance; warehouse layout design; double ABC classification; lean principle;

    Abstract : The companies operating in today’s business environment are facing several challenges in meeting the demand of the customers due to globalization. Research has shown that by focusing on supply chain management and improve the business processes, benefits could be extended beyond the company. READ MORE

  4. 38. Tackling imbalanced data in Random Forest to predict free-to-fee transitions of a subscription SaaS-application

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

    Author : Anna Karlhede; [2020]
    Keywords : ;

    Abstract : In this thesis we investigate different methods to tackle imbalanced data when using Random Forest for classification. The data comes from a subscription SaaS-application, namely Mentimeter, which allows users to create interactive presentations. READ MORE

  5. 39. Big Data and AI in Customer Support : A study of Big Data and AI in customer service with a focus on value-creating factors from the employee perspective

    University essay from Linnéuniversitetet/Institutionen för informatik (IK)

    Author : Aida Licina; [2020]
    Keywords : Big Data; Big Data Analytics; Big Data Value; Customer Service; Value Creation; Artificial Intelligence; Customer relationship management; Competitive advantage Acknowledgements;

    Abstract : The advance of the Internet has resulted in an immensely interconnected world, which produces a tremendous amount of data. It has come to change our daily lives and behaviours tremendously. The trend is especially seen in the field of e-commerce where the customers have started to require more and more from the product and service providers. READ MORE

  6. 40. Constructiveness-Based Product Review Classification

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Ugo Loobuyck; [2020]
    Keywords : constructive; constructiveness; classification; product; amazon; review; transformers; bert;

    Abstract : Promoting constructiveness in online comment sections is an essential step to make the internet a more productive place. On online marketplaces, customers often have the opportunity to voice their opinion and relate their experience with a given product. READ MORE