Sökning: "Bayesian network"

Visar resultat 1 - 5 av 69 uppsatser innehållade orden Bayesian network.

  1. 1. Machine Learning for a Network-based Intrusion Detection System : An application using Zeek and the CICIDS2017 dataset

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Vilhelm Gustavsson; [2019]
    Nyckelord :Machine Learning; Flow-based traffic characterization; Intrusion Detection System IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn; Maskininlärning; Flödesbaserad trafik-karaktärisering; Intrångsdetekteringssystem IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn;

    Sammanfattning : Cyber security is an emerging field in the IT-sector. As more devices are connected to the internet, the attack surface for hackers is steadily increasing. Network-based Intrusion Detection Systems (NIDS) can be used to detect malicious traffic in networks and Machine Learning is an up and coming approach for improving the detection rate. LÄS MER

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

    Master-uppsats, KTH/Matematisk statistik

    Författare :Carl Ridnert; [2019]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  3. 3. Classification of Wi-Fi Sensor Data for a Smarter City : Probabilistic Classification using Bayesian Statistics

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Elin Tyni; Johanna Wikberg; [2019]
    Nyckelord :;

    Sammanfattning : As cities are growing with an increasing number of residents, problems with the traffic such as congestion and larger emission arise. The city planners have challenges with making it as easy as possible for the residents to commute and in as large scale as possible to avoid vehicles. LÄS MER

  4. 4. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Zara Jackson; [2019]
    Nyckelord :Basal Metabolic Rate; Resting Metabolic Rate; Dynamic Bayesian Networks; Temporal Models; Food Tracking; Calories; Obesity; Pymc3; Probabilistic Programming;

    Sammanfattning : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. LÄS MER

  5. 5. Rating corrumption within insurance companies using Bayesian network classifiers

    Magister-uppsats, Umeå universitet/Statistik

    Författare :Oscar Öhman; [2019]
    Nyckelord :;

    Sammanfattning : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). LÄS MER