Sökning: "Databehandling"

Visar resultat 1 - 5 av 65 uppsatser innehållade ordet Databehandling.

  1. 1. Machine Learning Based Prediction and Classification for Uplift Modeling

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Nyckelord :Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Sammanfattning : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. LÄS MER

  2. 2. Sentiment Analysis of Nordic Languages

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi; Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Mårtensson; Jesper Holmblad; [2019]
    Nyckelord :Neural networks; LSTM; GRU; Keras; Sentiment analysis; Nordic languages;

    Sammanfattning : This thesis explores the possibility of applying sentiment analysis to extract tonality of user reviews on the Nordic languages. Data processing is performed in the form of preprocessing through tokenization and padding. A model is built in a framework called Keras. LÄS MER

  3. 3. Deep Learning for Speech Enhancement : A Study on WaveNet, GANs and General CNN-RNN Architectures

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

    Författare :Oscar Xing Luo; [2019]
    Nyckelord :;

    Sammanfattning : Clarity and intelligiblity are important aspects of speech, especially in a time of misinformation and mistrust. The breakthrough in generative models for audio files has brought massive improvements for speech enhancement. LÄS MER

  4. 4. Capitalising on Big Data from Space : How Novel Data Utilisation Can Drive Business Model Innovation

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM); KTH/Skolan för industriell teknik och management (ITM)

    Författare :Maria Bremström; Susanne Stipic; [2019]
    Nyckelord :Business Model Innovation; Data-Driven Business Model Innovation; Organisational Ambidexterity; Satellite Data; Big Data; Affärsmodellsutveckling; innovation; datadriven affärsutveckling; organisatorisk ambidexteritet; satellitdata; big data;

    Sammanfattning : Business model innovation has in recent year become more important for firms looking to gain competitive advantage on dynamic markets. Additionally, incorporating data into a firm’s business model has been shown to lead to improved performance. LÄS MER

  5. 5. Undersökning av GNSS flervägsfel på campusområdet vid Högskolan i Gävle

    Kandidat-uppsats, Högskolan i Gävle/Samhällsbyggnad; Högskolan i Gävle/Samhällsbyggnad

    Författare :Daniel Sälg; August Hjorter; [2019]
    Nyckelord :multipath error; satellite; elevation mask; GPS; GLONASS; flervägsfel; satellit; elevationsmask; GPS; GLONASS;

    Sammanfattning : Multipath error is a source of uncertainty within GNSS (Global Navigation Satellite System) where signals are reflected on various surfaces before they reach the receiver. The phenomenon causes a delay in the receiver when the reflected signal travels a longer distance than the direct one. LÄS MER