Sökning: "j48"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet j48.

  1. 1. Classification of role stereotypes for classes in UML class diagrams using machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jobaer Ahmed; Maoyi Huang; [2021-03-03]
    Nyckelord :role-stereotypes; machine learning algorithm; classification; data analysis; data mining; UML class diagram; software design; software engineering;

    Sammanfattning : Software development process is becoming inherently complex in recent decades. To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach can be understanding the software design for instance, the UML models earlier in the software development process. LÄS MER

  3. 2. Ensemble approach to code smell identification : Evaluating ensemble machine learning techniques to identify code smells within a software system

    Master-uppsats, Jönköping University/JTH, Datateknik och informatik

    Författare :Alfred Johansson; [2020]
    Nyckelord :Ensemble machine learning; code smell; technical debt; code smell identification; automated code smell identification;

    Sammanfattning : The need for automated methods for identifying refactoring items is prelevent in many software projects today. Symptoms of refactoring needs is the concept of code smells within a software system. Recent studies have used single model machine learning to combat this issue. LÄS MER

  4. 3. Fitness Function for a Subscriber

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för kommunikationssystem

    Författare :Sasidhar Podapati; [2017]
    Nyckelord :Classification; Machine Learning; Subscriber Mobility Analysis; Weka tool;

    Sammanfattning : Mobile communication has become a vital part of modern communication. The cost of network infrastructure has become a deciding factor with rise in mobile phone usage. Subscriber mobility patterns have major effect on load of radio cell in the network. The need for data analysis of subscriber mobility data is of utmost priority. LÄS MER

  5. 4. Capturing Curiosity : A Comparison of Machine Learning Algorithms for Classification of Curiosity in Text

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Adam Holmlund; [2016]
    Nyckelord :;

    Sammanfattning : The amount of text available to us on a daily basis, in the form of blogs, news articles, and social media updates, is larger then it has ever been. Being able to analyze large amounts of text and being able to determine its overall sentiment by using machinelearning algorithms has been a large area of research during the last few decades. LÄS MER

  7. 5. Customer Churn Prediction Using Big Data Analytics

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för kommunikationssystem

    Författare :NAREN NAGA PAVAN PRITHVI TANNEEDI; [2016]
    Nyckelord :Big Data; churn prediction; decision tree; Quality of Experience;

    Sammanfattning :      Customer churn is always a grievous issue for the Telecom industry as customers do not hesitate to leave if they don’t find what they are looking for. They certainly want competitive pricing, value for money and above all, high quality service. Customer churning is directly related to customer satisfaction. LÄS MER