Classification in football: Activity classification using sensor data in football

The goal of this report is to present and describe the effort surrounding the completion of the Master Thesis Project of classification in football. Classification is a procedure which belongs in the field of Statistics. The objective is to capture, detect and distinguish certain actions relative to the environment of analysis. In our case we are...

Web-Based Economic Activity Classification: Comparing semi-supervised text classification methods to deal with noisy labels

In order to provide accurate statistics for industries, the classification of enterprises by economic activity is an important task for national statistical institutes. The economic activity codes in the Dutch business register are less accurate for small enterprises since small enterprises are not labelled manually. To increase the quality of...

Valuation of residential real estate in the Netherlands

What is the actual value of a house and which factors contribute the most to it? In this thesis we do a thorough research and try to come up with an answer. We will set up models that approximate the current market values for all houses in the Netherlands. To do this, we use a lot of data from different sources. Various characteristics of houses...

The Use of Data Science for Sports Analysis Purposes

This thesis is dedicated to the application of data science to sports data. The research for this thesis is part of a bigger project on injury prevention and sport performance called Citius Altius Sanius (CAS). Two data sets from two different projects within CAS are analysed, with two different goals; one focusses on sports injury prevention in...

De statistische achtergrond van de vuistregels op het havo eindexamen wiskunde A

Sinds 2015/2016 krijgen de leerlingen op de havo met wiskunde A op hun eindexamen een blad met enkele vuistregels. In deze thesis heb ik de achtergrond van deze vuistregels onderzocht en de vuistregels zelf tegen het licht gehouden.

Nonparametric Calibration of Inhomogeneous Lévy Processes using Fourier Techniques

In this report, inhomogeneous Lévy processes are studied in a discrete observational model based on derivatives of the process. First, homogeneous Lévy models are defined and an already known nonparametric method, using Fourier techniques and call and put option prices, for estimating the parameters of the model is described based on Belomestny...

Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings

When the re brigade arrives at a burning building, it is of vital importance that people who are still inside can quickly be found. In this thesis we contribute to an ultrasonic sound sensor for human presence detection in smoke-lled spaces. This type of sensor could assist the re brigade when evacuating a large building by directing them to the...

Categorical based feature modeling on a zero inflated performance measure

ASML produces TwinScan NXT machines that are used for the production of microchips. The machines ensure that an accurate pattern of DUV-light passes a lens and that it is projected as accurate as possible on the wafer. To ensure that the focal point of the converged DUV-light falls exactly onto the wafer, the leveling functionality is of great...