Exploring the Potential of Uber Movement Data: An Amsterdam case study

With the increasing use of big data in varied applications to improve decision making and provide new insights, the research explores the potential of the Uber Movement data set released by Uber comprising of travel times from one zone to the other. A better understanding of the potential of the dataset could lead to the addition of the existing...

Evaluating Explanations for different Relationship Strengths

People like to travel in groups to visit places. Group recommendation systems can be used to recommend an itinerary of "places of interests" (POIs) in an ordered sequence. The order of POIs in the sequence can be explained to group members to increase acceptance of the recommended items. There is a possibility that explanations which reveal...

Real-time anomaly detection in logs using rule mining and complex event processing at scale

Log data, produced from every computer system and program, are widely used as source of valuable information to monitor and understand their behavior and their health. However, as large-scale systems generate a massive amount of log data every minute, it is impossible to detect the cause of system failure by examining manually this huge size of...

A behaviour driven recommender system in the fashion domain

Web shops use recommender systems to help users find the products they find interesting in the large amount of available products online. An often used approach to do so is collaborative filtering. This method relies on historical user-item interactions and uses them to recommends products other users found interesting. Fashion is very reliant...

Deep visual genre-aware descriptors for movie recommendation

In the last years, the popularity of video-on-demand services has been constantly increasing, especially for the young audiences who are more adept at using new technologies. Through those platforms, the viewers have access to a huge volume of movies at any moment that makes the viewing decision for most of them a very challenging task....

Phase Cancellation and Range Extension in Backscatter Networks

Progress has been made recently in the research of equal hierarchy backscatter communications. There are, however, challenges to overcome before this technology can become mainstream. For example, state-of-the-art solutions to the phase cancellation problem that occurs in such networks are still trivial and sub-optimal, especially in terms of...

Time series forecast in non-stationary environment with occurrence of economic bubbles: Bitcoin Price prediction

Being capable to foresee the future of a given financial asset as an investor, may lead to significant economic profits. Therefore, stock market prediction is a field that has been extensively developed by numerous researchers and companies. Recently, however, a new branch of financial assets has emerged, namely cryptocurrencies. As a...

Automatic Ordering of Code Changes for Review

Code review has been proved to be an extremely important practice to ensure softwarequality. In recent years, the trend has moved towards modern code review, a lightweight and less strict paradigm. Despite its many advantages, this approach still has room for further improvement, especially in the area of cognitive support for reviewers.<br/...

Modelling and Mining of Data mining Workflows in Data Science Scripts

Knowledge discovery and data mining (KDD) is the process that extracts new knowledge from data. Data scientists program their solutions of their KDD challenges in data mining programming scripts. Data mining programming scripts contain multiple or all steps of the KDD process. In other words, these scripts start with data and end with knowledge....

Search-Based Test Data Generation for SQL Queries

Software testing is an important, well-researched field.<br/>With the majority of modern-day applications using relational databases to manipulate their data, it is crucial that database interactions are tested as well.<br/>This is a complex task to perform manually, and thus researchers have been attempting to tackle this problem by means of...

BEPSys 2.0: Central Registration Tool for Projects and Groups

The following report outlines the research, development, and delivery phases of the BEPSys 2.0 application. The application aims to provide central project registration and management for courses at the TU Delft. The request for the development stemmed from Otto Visser, who was the acting coordinator for the Computer Science Final Project Course...