Sökning: "K-Nearest Neighbours"

Visar resultat 21 - 25 av 28 uppsatser innehållade orden K-Nearest Neighbours.

  1. 21. Machine Learning in Defensive IT Security: Early Detection of Novel Threats

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

    Författare :Ren Duan; [2019]
    Nyckelord :;

    Sammanfattning : The rapid development of technology leads to a rise in cybercrime, hence cybersecurityis of unprecedented significance, especially for businesses. Defensiveand forensic IT security is a rather niche field in IT security but it issurely going to grow. It focuses on preventing attacks by good design standardsand the education of persons. LÄS MER

  3. 22. FINDING ANOMALOUS TIME FRAMES IN REAL-WORLD LOG DATA

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Frans-Lukas Lövenvald; [2019]
    Nyckelord :;

    Sammanfattning : Anomaly detection is a huge fi€eld of research focused on the task of €finding weird or outlying points in data. Th‘is task is useful in all fi€elds that handle large amounts of data and is therefore a big topic of research. LÄS MER

  4. 23. CONSTRUCTING AND VARYING DATA MODELS FOR UNSUPERVISED ANOMALY DETECTION ON LOG DATAData modelling and domain knowledge’s impact on anomaly detection and explainability

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Anton Vidmark; [2019]
    Nyckelord :;

    Sammanfattning : As the complexity of today’s systems increases, manual system monitoring and log fi€le analysis are no longer applicable, giving an increasing need for automated anomaly detection systems. However, most current research in the domain, tend to focus only on the technical details of the frameworks and the evaluations of the algorithms, and how this impacts anomaly detection results. LÄS MER

  5. 24. Household’s energy consumption and productionforecasting: A Multi-step ahead forecast strategiescomparison.

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Gonzalo Martín-Roldán Villanueva; [2017]
    Nyckelord :Multi-step; forecast; strategies; Recursive; Direct; DirRec; DIRMO; MIMO; Artificial Neural Networks; Random Forest; K-Nearest Neighbours Regression; MAPE; MAE;

    Sammanfattning : In a changing global energy market where the decarbonization of the economy and the demand growth are pushing to look for new models away from the existing centralized non-renewable based grid. To do so, households have to take a ‘prosumer’ role; to help them take optimal actions is needed a multi-step ahead forecast of their expected energy production and consumption. LÄS MER

  7. 25. Comparison of user and item-based collaborative filtering on sparse data

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Haris Adzemovic; Alexander Sandor; [2017]
    Nyckelord :;

    Sammanfattning : Recommender systems are used extensively today in many areas to help users and consumers with making decisions. Amazon recommends books based on what you have previously viewed and purchased, Netflix presents you with shows and movies you might enjoy based on your interactions with the platform and Facebook serves personalized ads to every user based on gathered browsing information. LÄS MER