Essays about: "random forest"

Showing result 1 - 5 of 413 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

  2. 2. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Kristian Emil Havnsgaard Paludan; [2021]
    Keywords : Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

    Abstract : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). READ MORE

  3. 3. Property Valuation by Machine Learning and Hedonic Pricing Models : A Case study on Swedish Residential Property

    University essay from KTH/Fastigheter och byggande

    Author : Kanha Teang; Yiran Lu; [2021]
    Keywords : Real estate valuation; Machine learning; Hedonic Pricing Models; Random Forest; Stockholm; Fastighetsvärderingar; Maskininlärning; hedoniska prissättningsmodeller; Random Forest; Stockholm;

    Abstract : Property valuation is a critical concept for a variety of applications in the real estate market such as transactions, taxes, investments, and mortgages. However, there is little consistency in which method is the best for estimating the property value. READ MORE

  4. 4. Supervised fraud detection of mobile money transactions on different distributions of imbalanced data : A comparative study of the classification methods logistic regression, random forest, and support vector machine

    University essay from Uppsala universitet/Statistiska institutionen; Uppsala universitet/Statistiska institutionen

    Author : Isak Wirgen; Douglas Rube; [2021]
    Keywords : ;

    Abstract : The purpose of this paper is to compare the classification methods logistic regression, random forest, and support vector machine´s performance of detecting mobile money transaction fraud. Their performance will be evaluated on different distributions of imbalanced data in a supervised framework. READ MORE

  5. 5. 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