Essays about: "Classification of Customers"

Showing result 1 - 5 of 54 essays containing the words Classification of Customers.

  1. 1. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning

    University essay from KTH/Optimeringslära och systemteori

    Author : Valgerdur Tryggvadottir; [2019]
    Keywords : Customer churn prediction; whales; data analysis; machine learning; binary classification.; Kund churn prediktering; valar; dataanalys; maskinlärning; binär klas-sificering.;

    Abstract : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. READ MORE

  2. 2. Machine Learning for Sparse Time-Series Classification - An Application in Smart Metering

    University essay from KTH/Matematisk statistik

    Author : Carl Ridnert; [2019]
    Keywords : ;

    Abstract : Smart Meters are measuring devices collecting labeled time series data of utility consumptions from sub-meters and are capable of automatically transmit-ting this between the customer and utility companies together with other companies that offer services such as monitoring of consumption and cleaning of data. The smart meters are in some cases experiencing communication errors. READ MORE

  3. 3. Identification of Problem Gambling via Recurrent Neural Networks : Predicting self-exclusion due to problem gambling within the remote gambling sector by means of recurrent neural networks

    University essay from Umeå universitet/Institutionen för fysik

    Author : Måns Bermell; [2019]
    Keywords : LSTM; machine learning; online casino; problem gambling; recurrent neural network; time series;

    Abstract : Under recent years the gambling industry has been moving towards providing their customer the possibility to gamble online instead of visiting a physical location. Aggressive marketing, fast growth and a multitude of actors within the market have resulted in a spike of customers who have developed a gambling problem. READ MORE

  4. 4. Comparison of Machine Learning Techniques when Estimating Probability of Impairment : Estimating Probability of Impairment through Identification of Defaulting Customers one year Ahead of Time

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

    Author : Alexander Eriksson; Jacob Långström; [2019]
    Keywords : Classification; Imbalanced Data; Machine Learning; Probability of Impairment; Risk Management; Klassificering; Obalanserat Data; Maskininlärning; Probability of Impairment; Riskhantering;

    Abstract : Probability of Impairment, or Probability of Default, is the ratio of how many customers within a segment are expected to not fulfil their debt obligations and instead go into Default. This is a key metric within banking to estimate the level of credit risk, where the current standard is to estimate Probability of Impairment using Linear Regression. READ MORE

  5. 5. Minimization of Output Variation in Mass Customized Production

    University essay from Högskolan i Jönköping/JTH, Industriell organisation och produktion; Högskolan i Jönköping/JTH, Industriell organisation och produktion

    Author : My Ngoc Johansson; Salwa Al Hasbani; [2018]
    Keywords : Output variation; mass customized production; Standardised work; line balancing; internal logistics; kitting; sequencing and scheduling material deliveries;

    Abstract : During the past decades, there have been an acceleration of customers’ needs of customized products. This have pressured many companies in offering customized products in order to reach customer satisfaction and keep growing and expanding their market share. READ MORE