Mining the forest: Interpretable classification models in biology with application to scale-space signals

High-throughput data has become an indispensable resource for the study of biology and human disease. Due to the sheer size and complexity of these datasets, machine-learning approaches, such as predictive models, play an important role in the extraction of knowledge from these datasets. Most biological research is however not primarily...

A workload model for MapReduce

MapReduce is a parallel programming model used by Cloud service providers for data mining. To be able to enhance existing and to develop new MapReduce sys- tems, we need to evaluate the performance of these systems. To this end we intro- duce in this work the Cloud Workloads Archive Toolbox. This toolbox facilitates the analysis of MapReduce...

Graphical application for the statistical analysis of copy number variations in aCGH data

This document is the final report describing the development process of a graphical, statistical analysis application of copy number variations in aCGH data. The document is intended to provide an insight in the development process used to produce the final prototype delivered by the project. The project entailed the design and implementation of...

7U Content Management System

Dit verslag verslaat het verloop van het BSc-project van Berend Wouda en Thomas de Ruiter. Het project is een onderdeel van de bachelor opleiding Technische Informatica van de faculteit EWI van de TU Delft. Het project behelst het ontwerpen en implementeren van een content management systeem, ter vervanging van een reeds bestaand systeem. Dit...