Sökning: "Fuzzy c-means"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Fuzzy c-means.

1. 1. NLP-based Failure log Clustering to Enable Batch Log Processing in Industrial DevOps Setting

   Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Ali Homayouni; [2022]
   Nyckelord :natural language processing; failure clustering; nightly testing; industrial devops;

   Sammanfattning : The rapid development, updating, and maintenance of industrial software systems have increased the necessity for software artifact testing. Some medium and large industries are forced to automate the test analysis process due to the proliferation of test data. LÄS MER

3. 2. Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning

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

   Författare :Lucas Höglund; [2021]
   Nyckelord :Autoencoder; Clustering; Eye tracking; Feature extraction; Feature selection; Machine learning; Parkinson’s disease.; Autokodare; Klustring; Blickspårning; Särdragsextraktion; Särdragsidentifikation; Maskininlärning; Parkinsons sjukdom.;

   Sammanfattning : Parkinson’s disease is a brain disorder associated with reduced dopamine levels in the brain, affecting cognition and motor control in the human brain. One of the motor controls that can be affected is eye movements and can therefore be critically affected in patients with Parkinson’s disease. LÄS MER

4. 3. Clustering and forecasting for rain attenuation time series data

   Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Författare :Jing Li; [2017]
   Nyckelord :Clustering; Time series Forecasting; Rain attenuation; Machine learning; Unsupervised learning; ; klustring; Tidsserieprognoser; Regn dämpning; Maskininlärning; Unservervised learning; ;

   Sammanfattning : Clustering is one of unsupervised learning algorithm to group similar objects into the same cluster and the objects in the same cluster are more similar to each other than those in the other clusters. Forecasting is making prediction based on the past data and efficient artificial intelligence models to predict data developing tendency, which can help to make appropriate decisions ahead. LÄS MER

5. 4. Analysing Customer Behaviour in the FX Market Using Order Flow Data and Machine Learning Techniques

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Lovisa Thordin; [2015]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : This thesis has two main objectives related to trading foreign currencies. First, it is investigated how the customer order ow of Nordea is related to currency price changes. Second, the goal is to nd a new way of grouping customers that can give additional insights in the trading behaviour of dierent customers. LÄS MER

7. 5. Software quality studies using analytical metric analysis

   Master-uppsats, KTH/Kommunikationssystem, CoS

   Författare :Cecilia Rodríguez Martínez; [2013]
   Nyckelord :Bugs; Fuzzy c-means; Neuro-fuzzy hybrid model; Radial basis function neural network; Software metrics; Buggar; Fuzzy c-medel; Neuro-Fuzzy hybridmodell; Radial basis funktion neurala nätverk; programvarastatistik; Error; Fuzzy c-means; modelo híbrido neuro-difuso; Red neuronal de función de base radial; métricas del software;

   Sammanfattning : Today engineering companies expend a large amount of resources on the detection and correction of the bugs (defects) in their software. These bugs are usually due to errors and mistakes made by programmers while writing the code or writing the specifications. No tool is able to detect all of these bugs. LÄS MER