Essays about: "Random Forest"

Showing result 1 - 5 of 357 essays containing the words Random Forest.

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

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

    Abstract : 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 softwaredevelopment process. READ MORE

  3. 2. Anomaly Detection in Log Files Using Machine Learning Techniques

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Lakshmi Geethanjali Mandagondi; [2021]
    Keywords : Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

    Abstract : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. READ MORE

  4. 3. Classification of a Sensor Signal Attained By Exposure to a Complex Gas Mixture

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Rabnawaz Jan Sher; [2021]
    Keywords : Classification; Random Forest; Linear Discriminant Analysis; Naive Bayes; Principal Component Analysis; Drift; Baseline Compensation; Normalization; Sensor; Signal Preprocessing.;

    Abstract : This thesis is carried out in collaboration with a private company, DANSiC AB This study is an extension of a research work started by DANSiC AB in 2019 to classify a source. This study is about classifying a source into two classes with the sensitivity of one source higher than the other as one source has greater importance. READ MORE

  5. 4. Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines

    University essay from Lunds universitet/Matematisk statistik

    Author : Jesper Gunnarsson; Jacob Tyrberg; [2021]
    Keywords : B2B; pricing; Random Forest; Gradient Boosting; calibration; feature engineering; Mathematics and Statistics;

    Abstract : For a business to be as successful as possible it needs a sound pricing strategy. A B2B environment allows the business more freedom to tailor each quote to maximize the performance.In order to do this, proper understanding of how probable a quote is to succeed is crucial. READ MORE

  6. 5. Uncertainity in Renewable Energy Time Series Prediction using Neural Networks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Phil Aupke; [2021]
    Keywords : Time Series Data; Uncertainty; Machine Learning;

    Abstract : With the increasing demand for solar energy, the forecast of the PV station energy production has to be as precisely as possible. To make the prediction more robust, also correlated infor- mation about the weather can be added to the previous energy production of the PV station. READ MORE