Sökning: "OC-SVM"

Hittade 2 uppsatser innehållade ordet OC-SVM.

1. 1. Unsupervised Anomaly Detection on Time Series Data: An Implementation on Electricity Consumption Series

   Master-uppsats, KTH/Matematisk statistik

   Författare :Amelia Lindroth Henriksson; [2021]
   Nyckelord :Unsupervised learning; machine learning; anomaly detection; time series; electricity consumption; synthetic anomalies; DBSCAN; LOF; iForest; OC-SVM; Oövervakad inlärning; maskininlärning; anomalidetektion; tidsserier; elförbrukning; syntetiska anomalier; DBSCAN; LOF; iForest; OC-SVM;

   Sammanfattning : Digitization of the energy industry, introduction of smart grids and increasing regulation of electricity consumption metering have resulted in vast amounts of electricity data. This data presents a unique opportunity to understand the electricity usage and to make it more efficient, reducing electricity consumption and carbon emissions. LÄS MER

3. 2. Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data

   Master-uppsats, Högskolan Dalarna/Mikrodataanalys

   Författare :Nor-Ul Wahab; [2018]
   Nyckelord :Anomaly detection; rule-based; one class support vector machine; k-nearest neighbor; random forest; confusion matrix; accuracy; precision; recall; F1-score;

   Sammanfattning : A diesel particulate filter (DPF) is designed to physically remove diesel particulate matter or soot from the exhaust gas of a diesel engine. Frequently replacing DPF is a waste of resource and waiting for full utilization is risky and very costly, so, what is the optimal time/milage to change DPF? Answering this question is very difficult without knowing when the DPF is changed in a vehicle. LÄS MER