Searched for: subject%3A%22big%255C+data%22
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Klievink, A.J. (author), Romijn, Bart Jan (author), Cunningham, S. (author), de Bruijn, J.A. (author)
Big data is being implemented with success in the private sector and science. Yet the public sector seems to be falling behind, despite the potential value of big data for government. Government organizations do recognize the opportunities of big data but seem uncertain about whether they are ready for the introduction of big data, and if...
journal article 2016
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Thijssen, O.A. (author)
The department of Critical Care Medicine at SickKids Children’s Hospital is an ever changing environment. In the department’s units one finds the most vulnerable patients, surrounded with many monitoring devices, intravenous pumps and life support devices. Sudden changes in their physiological states require clinicians to make quick decisions...
master thesis 2015
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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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Yin, Y. (author)
With the rapid growth of large amounts of data in different types from different sources, it is possible for the industrial automation sector to transform raw data from production processes into meaningful and useful information for business purpose. The leverage of Big Data Analytics helps the Original Equipment Manufacturing companies gain...
master thesis 2015
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Raats, J.M. (author), Van der Zwan, L.F. (author)
The Investment Department of ING asked us to build a model that predicts customer loyalty using the Net Promoter Score (NPS) system and a dashboard that would show the results of the model. With this model and dashboard ING may be able to get an insight into which groups of customers are at risk to complain.
bachelor thesis 2015
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Pot, R. (author), Roelse, F.P. (author), Van der Meer, M.T. (author), Nushi, B.R.I. (author), Nelemans, J.P. (author)
The application of the Observational Method can contribute to an economic construction process and effective geotechnical risk management. Current project management practices and control of construction works lead to unfavourable conditions of its application. Throughout the realization of infrastructure, understanding of project risks and...
conference paper 2015
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Lindenbergh, R.C. (author), Berthold, D. (author), Sirmacek, B. (author), Herrero-Huerta, M. (author), Wang, J. (author), Ebersbach, D. (author)
In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping systems provide an efficient and accurate way to sample the 3D road surrounding including notable roadside trees. Indeed, at, say, 50 km/h such systems...
conference paper 2015
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Sippe, R. (author)
Big data is a broad term that is related to the collection, storage and analysis of large volumes of data. The term big data is often associated with the popular 3V’s model, which defined that data is growing significantly in the characteristics volume, variety and velocity. In this research we defined big data as: the collection, storage and...
master thesis 2015
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Ngai, W.L. (author)
In the age of information our society generates data at an increasing and already alarming rate. To keep up with the rapid increase in the amount of available data, the academics have shown strong interests in the emerging research field of Big Data Processing (BDP), which explores technologies aiming at efficient processing of enormous amounts...
master thesis 2015
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Hubregtsen, T.S. (author)
Big Data systems have been used for multiple years to solve problems that require scale. A framework takes care of scalability and resiliency issues, and allows the user to focus on relevant computation, in the form of map and reduce functions. In these Big Data systems, we currently see a shift from the traditional use of the Hard Disk Drive ...
master thesis 2015
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Papacharalampous, A.E. (author)
Transportation engineering is founded on the availability and abundance of data in order to model, forecast and analyse traffic and mobility movements in general. Especially on the macroscopic level, e.g., for the whole of the Netherlands, the data requirements are very big. An innovative source of data is GSM data. Analysing these data is an...
master thesis 2014
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Lievens, R.A. (author)
Marine contractors deal with processes that are understood qualitatively but are hard to quantify. The amount of data available for these processes is ever growing, and so too the intrinsic value that lies within this data. Several data driven model approaches can be used to analyse this process data, one being a Bayesian Network (BN) approach....
master thesis 2014
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Romijn, J.H. (author)
master thesis 2014
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Piltan, A. (author)
Studies show that Data-Driven Decision-Making grounded on large “volumes” of a wide “variety” of data with high-“velocity”, known as Big Data, can considerably enhance the organizational performance. However, the traditional way of capturing, storing, and analyzing digital data through on-premise Business Intelligence (BI) and Analytics systems...
master thesis 2014
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Oei, M.H.H. (author)
Operational Business Intelligence systems have a great potential for organisations make use of to differentiate themselves. This research aims to find factors that influence the acceptance of such a system in an organisational context. Special attention is given to the several perspectives of the involved stakeholders. Through a literature...
master thesis 2014
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Ton, D. (author)
master thesis 2014
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Keij, J.E. (author)
master thesis 2014
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Bessas, K. (author)
''Real-time services'' is a very challenging topic. Running analytics in real-time when there is an abstract network layer makes things even more complicated. The demand to analyze huge data-sets in real time or in the long term has been increasing over the past decade in many sectors including health-care, general science and various online...
master thesis 2014
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Scholte, K.A. (author)
Monitoring marine vessel traffic is a labor intensive job. In order to identify possible unsafe situations and vessels breaking the law, a port traffic control authority needs to observe marine vessel traffic 24 hours a day, 7 days a week. Human operators are good at identifying abnormal behavior, but are unable to do so for extended periods of...
master thesis 2013
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Verheij, B.A. (author)
This research concerned the process of big data solution adoption and the main issues that firms experience in this process. Using eight cases within the Dutch telecommunication and energy utility sectors, a conceptual model was constructed of issues in the process of big data solution adoption. Twelve main issues were identified in the process...
master thesis 2013
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