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Geukes, Colin (author)
In real-world scenarios, users provide invaluable data; however, this data is inherently incoherent, incomplete, and duplicated, i.e., different data rows refer to the same real-world object. Merging duplications to a single entry broadens the knowledge of a given real-world object represented within a data set. Applying a straightforward cross...
master thesis 2023
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Groet, Philip (author)
With the rise of the new interconnect standards CXL and previously OpenCAPI, has come a great deal of possibilities to step away from the classical approach where CPUs are in charge of moving data between external devices and local memory. Specifically, OpenCAPI allows for attached devices to directly interface with the host memory bus in a near...
master thesis 2023
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Nettesheim, Lara (author)
Every child in the Netherlands should receive an equal opportunity to begin their life with the best possible prospects. The first 1000 days of a child’s life are of utmost importance in establishing a strong foundation for future development. Children may experience a disadvantageous beginning due to various factors such as exposure to smoking...
master thesis 2023
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Jonkman, Christian (author)
Incorporating big data into decision-making provides a substantial competitive advantage, leading organisations to increasingly adopt a data-driven strategy. However, the adoption by organisations often remains unsuccessful due to limitations associated with monolithic data architectures, such as data lakes and data warehouses. Data mesh is...
master thesis 2023
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Dell'Orto, Federico (author)
Nowadays many companies still conceive their logistic operations as a simple material replenishment of the production plants and do not invest money and time in projects to structure their Supply Chain and bring more eciency to the production process. In addition, the high complexity of the automotive industry and the emerging uncertainties that...
master thesis 2022
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Breeman, Max (author)
Over the last few years, regulations, changes in governance, and societal pressure have led to a push to rethink a firms’ approach to sustainability. This push created a need to place sustainability and numerous relevant technologies and approaches at the centre of the firms’ decision-making process. Within the financial industry, the...
master thesis 2021
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Kanya Paramita Koesoemo, Kanya (author)
The development of data stream processing has become one of the key themes in the database and distributed system community throughout the world as data has grown on a large scale and in a range of industries over the last several years. Because data stream processing is a relatively new breakthrough in data-driven approaches, several teams at...
master thesis 2021
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Nguyen, Buu-Van (author)
The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) model can potentially be used in animal breeding for genetic evaluations. It has been reported that this model has convergence issues when the Preconditioned Conjugate Gradient (PCG) method is applied. This is due to the linear system being ill-conditioned...
master thesis 2021
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Bobde, Sharwin (author)
Using Recommender Systems with Evolutionary Algorithms is an extremely niche domain. It holds the key to enabling new user interaction designs, where users can effectively configure their experience with a Recommender System. This thesis answers important questions about the scientific aspects of its application to large-scale data through a...
master thesis 2021
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Oudemans, Melchior (author)
The big data technology market size is expected to grow in the coming years. The advantages of having automated test tools for big data applications are becoming increasingly important. Fuzzing is an automated testing method which has been used in many different fields, but has not been frequently used in the big data domain as it poses several...
bachelor thesis 2021
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Abrahamse, Robin (author)
The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes are able to directly access memory on adjacent nodes and can therefore overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...
bachelor thesis 2021
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Theodoridis, Giannis (author)
Structural health monitoring of maritime and offshore structures can contribute to the reduction of the amount of uncertainty in assessment of the operational loads and the structural integrity. Such a survey can also reduce the large safety margins during the design and optimize the conservative inspection and maintenance schedules. One of the...
master thesis 2021
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Lu, Jiahao (author)
From the internet to the sensors in wearable devices, people leave their digital traces behind both online and offline. Data is getting ubiquitous and cheap. Some new fields, like business intelligence, are recognized and emerging. As a trustworthy and precise material, data is also a valuable source for designers. It provides accurate and...
master thesis 2020
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Mathur, Pulkit (author)
The construction industry has always been plagued with a high number of accidents and fatalities. The Dutch construction is not an exception in this case and had the highest percentage of workplace accidents among all industries in the national economy, in the year 2019. The high number of accidents and resulting fatalities can be attributed to...
master thesis 2020
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Laurens, Florian (author)
The seasonal Chindwin river (Myanmar) forms the central artery for transportation in the region. However, the dynamic river behaviour, archaic boat equipment and limited monitoring, yearly results in large numbers of grounding ships, causing injuries and economic losses. A pilot project involving CoVadem technology was initiated in the beginning...
master thesis 2020
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Metaxas, Konstantinos (author)
As the digitisation of the world progresses at an accelerating pace, an overwhelming quantity of data from a variety of sources, of different types, organised in a multitude of forms or not at all, are subjected into diverse analytic processes for specific kinds of value to be extracted out of them. The aggregation of these analytic processes...
master thesis 2019
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Anlagan, Gökhan (author)
The Dutch justice department could benefit greatly from the personal digital data from social media since psychological attributes are known to be strong predictors for recidivism, and assessing the risk of recidivism (with the RISc) in the Netherlands is a very cost- and labour intensive process with low prediction power. The research question ...
master thesis 2019
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Wijtemans, Lars (author)
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...
master thesis 2019
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van Leeuwen, Lars (author)
With the advent of high-bandwidth non-volatile storage devices, the classical assumption that database analytics applications are bottlenecked by CPUs having to wait for slow I/O devices is being flipped around. Instead, CPUs are no longer able to decompress and deserialize the data stored in storage-focused file formats fast enough to keep up...
master thesis 2019
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Ganapathi Shanbhag, Avin (author)
<b>Problem:</b> Lack of Water Sanitation is a global problem due to the experiment-based research required in its field, hindering scientific progress. Commercializing breakthrough technologies in Water Sanitation into the market is uncertain and there comes a requirement to design to appropriate business models. The emergence of Big Data has...
master thesis 2019
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