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Boelrijk, Wesley (author)
Over the last decades, flying has become increasingly accessible and the global aviation industry is growing rapidly. This causes airports and airspaces to reach their capacity limits. Reliable estimation and forecasting of air passenger demand is very important for airlines in order to allocate resources effectively in a constrained and...
master thesis 2019
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Talluri, Sacheendra (author)
The proliferation of big-data processing platforms has already led to radically different system designs, such as MapReduce and the newer Spark. Understanding the workloads of such systems enables tuning and could foster new designs. However, whereas MapReduce workloads have been characterized extensively, relatively little public knowledge...
master thesis 2018
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Hassan, Hoda (author)
‘Real estate is the largest asset class in the world’ as stated by Harvard business school Professor Arthur Segel. It is also unbeatable driver of individual wealth and overall economy. But on the other hand, it is one of the most imperfect markets, due to the lack of accessibility to valuable information in the limited time of decision making...
master thesis 2018
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Skinner, Maren (author)
Global trends such as digitalization and the Internet of Things have influenced cities and the lives of residents deeply in recent years. In this digital age, cities turn toward SMART solutions, where they ultimately hope to find new innovative ways of accommodating their citizen’s fundamental needs such as clean drinking water, efficient sewage...
master thesis 2018
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Gualinetti, Francesco (author)
Projects of re-use of underused infrastructures to design sustainable urban landscape architecture represent a great contribution to meet the need for sustainability cities are experiencing today. Urban administrators often strive for a successful realization of such projects, to give a social and economic power impulse to poorly performant...
master thesis 2018
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Grent, Henk (author), Haakman, Mark (author), van Mil, Frenk (author), Waij, Sander (author)
Through the years, companies have been exploring the field of data science. The Nederlandse Spoorwegen (NS) is not an exception to this. Modern trains are equipped with sensors that measure a variety of conditions within the train. This data is being stored in their data warehouse. This data has been proven useful for detection and response...
bachelor thesis 2018
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Lu, Yun (author)
In this work, a possible solution to allow for scalable MATLAB deployment on big data clusters through Spark without using the official MATLAB toolbox is introduced. Other possible solutions that can be used for accelerating existing MATLAB code including calling modules written by Graphics Processing Unit (GPU) and Python Pool with...
master thesis 2018
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Naeff, Rens (author)
Problem statement - Damen Shipyards (Damen) wants to use Big Data analysis to gain new market insights and forecast vessel demand. These insights are valuable because Damen keeps standardised vessels in stock in order to significantly reduce delivery times. This concept gives Damen a competitive advantage, but is not without risk since they must...
master thesis 2018
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Kool, Stephan (author)
The publicly funded ESA Copernicus and NASA Landsat earth observation programs are publishing their data as open data in the promise of 30 billion euro of financial benefit for the EU as well as 50.000 new jobs, both by 2023. The move by these two space agencies fits in a larger pattern of ‘new space’, in which the launch and exploitation of...
master thesis 2018
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Bonifacius Adrianto, Bonifacius Adri (author)
There is nowadays an increased use of data, reaching 2.5 exabytes globally, and is expected to double every two years (Morvan, 2016). An enormous amount of data can now be generated, ranging from smartphones to sensors in machineries. However, most organizations are reported to be able to only create and store data, and creating added value from...
master thesis 2017
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Driessen, Rick (author)
In recent years, the Netherlands Ministry of Defence (MoD) modelled, standardized, and digitally secured many of its organization-broad business processes. However, MoD experiences great difficulty in gaining insights in these processes and steering them productively. The novel business process analyses method Process Mining appeared to be a...
master thesis 2017
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Wiersma, Ruben (author), Nguyen, Hung (author), Geenen, Alexander (author)
As GeoPhy is developing its business model and looking into the future of automated valu- ation models (AVM), this project delivers a proof of concept of a system that automates the training, maintaining, and delivery of machine learning models for automated valuations. In order to achieve this goal, the situation and problem were first analysed...
bachelor thesis 2017
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Van Zoelen, E. (author)
Smart thermostats like Toon are part of an overarching product category called Home Energy Management Systems (HEMS). These products provide consumers with feedback on their energy usage and consequently help them reduce their energy usage. Recently, energy companies have started offering these devices to their customers. The underlying...
master thesis 2017
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Düzgün, Baris (author)
Professionals in the Operations and Maintenance phase of national road <br/>infrastructure projects are making decisions with large consequences based on low frequency measurements and subjectivity prone expert observations. A solution is expected in sensor innovations, IoT and User Generated Data to generate more frequent measurements and less...
master thesis 2017
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Buquet, R. (author)
This thesis explores different perspectives on the added value of data and data visualizations in context management practices and argues that organizations can have a valuable role in the space between bottom-up and top-down approaches, as individuals’ lack of control over a context becomes an opportunity for encouragement of a sense of...
master thesis 2016
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Voicu, T.A. (author)
The digital era's requirements pose many challenges related to deployment, implementation and efficient resource utilization in modern hybrid computing infrastructures. In light of the recent improvements in computing units, the defacto structure of a high-performance computing cluster, ordinarily consisted of CPUs only, is superseeded by...
master thesis 2016
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Shanina, S. (author)
Big data has become an important issue for the SME financial sector. The amount of data stored by banks is expanding and growing fast. These trends provide SME finance banks with a huge opportunity to enhance their businesses. Combining predictive analytics with automatic decision making, popularly known as customer analytics, makes it possible...
master thesis 2016
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Gloudemans, T.W. (author)
To enable low cost open source ATM simulations the University of Technology Delft is developing an open source ATM simulator Bluesky. A method was developed to identify aircraft performance parameters using ADS-B and other open sources of data. The goal is to determine the operational flight envelope and get estimates for the lift- and drag...
master thesis 2016
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Folkers, C. (author)
Two currently popular topics in computer science are machine learning and big data. Often the two are combined to obtain powerful machines with learning capabilities or high throughput data analysis programs among others. This research analyses which machine learning techniques qualify to be efficiently implemented on a scalable big data...
master thesis 2016
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De Lange, R.M. (author)
Big Data is a popular research and business topic. Due to the potential value that lies in Big Data, much effort is put in attempts to improve Big Data analysis methods. ORTEC is a company that provides data analysis, optimisation, and forecasting solutions. In an attempt to make Big Data analysis easier to use for its customers, ORTEC is...
master thesis 2015
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