Essays about: "Knowledge Discovery from Data"

Showing result 1 - 5 of 27 essays containing the words Knowledge Discovery from Data.

  1. 1. Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Andrea Krogdal; [2020-01-09]
    Keywords : ABC; MCMC; delayed acceptance; DA; surrogate model;

    Abstract : The thesis introduces an innovative way of decreasing the computational cost of approximateBayesian computation (ABC) simulations when implemented via Markovchain Monte Carlo (MCMC). Bayesian inference has enjoyed incredible success sincethe beginning of 1990’s thanks to the re-discovery of MCMC procedures, and theavailability of performing personal computers. READ MORE

  2. 2. Predicting rifle shooting accuracy from context and sensor data : A study of how to perform data mining and knowledge discovery in the target shooting domain

    University essay from Högskolan i Jönköping/JTH, Datateknik och informatik; Högskolan i Jönköping/JTH, Datateknik och informatik

    Author : Max Pettersson; Viktor Jansson; [2019]
    Keywords : Interpretability; Target shooting; Regression trees; Feature selection; Cross-validation;

    Abstract : The purpose of this thesis is to develop an interpretable model that gives predictions for what factors impacted a shooter’s results. Experiment is our chosen research method. Our three independent variables are weapon movement, trigger pull force and heart rate. Our dependent variable is shooting accuracy. READ MORE

  3. 3. Exploring Unsupervised Learning as a Way of Revealing User Patterns in a Mobile Bank Application

    University essay from Uppsala universitet/Avdelningen för systemteknik; Uppsala universitet/Avdelningen för systemteknik

    Author : Elsa Bergman; Anna Eriksson; [2019]
    Keywords : machine learning; unsupervised learning; user behavior; pattern recognition; mobile application; clustering;

    Abstract : The purpose of this interdisciplinary study was to explore whether it is possible to conduct a data-driven study using pattern recognition in order to gain an understanding of user behavior within a mobile bank application. This knowledge was in turn used to propose ways of tailoring the application to better suit the actual needs of the users. READ MORE

  4. 4. The realities of innovation strategies within the low- and medium- technology industries. Are open and explorative innovation strategies superior than closed and exploitative?

    University essay from Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskap; Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskap

    Author : Henrik Saabs; Alexander May; [2018]
    Keywords : low- and medium-technology industry; innovation; open innovation; closed innovation; exploitative innovation; explorative innovation; innovation process; knowledge; knowledge based view;

    Abstract : Background: Most of the existing literature regarding innovation and innovation strategies focus on high-tech industries. In contrast low- and medium-technology industries are receiving very little attention despite the category is making up the largest part of the manufacturing industries in OECD countries. READ MORE

  5. 5. Deviation occurrence analysis in a human intensive production environment by using MES data

    University essay from KTH/Industriell produktion

    Author : Alfonso Paz Alvarez; [2018]
    Keywords : Assembly line; Deviation; Human performance; Manufacturing Execution System; Cycle time; Digital environment; Montering linje; Avvikelse; Mänsklig prestation; Manufacturing Execution System; Cykeltid; Digital miljö;

    Abstract : Despite decades of automation initiatives, manual assembly still represents one of the most cost-effective approaches in scenarios with high product variety and complex geometry. It represents 50% of total production time and 20% of total production cost. READ MORE