Searched for: collection%253Air
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Pol, R van der (author), Bredel, M (author), Barczyk, A (author), Overeinder, B (author), van Adrichem, N.L.M. (author), Kuipers, F.A. (author)
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in order to transfer these data sets over the Internet is a challenge. Single links do not have enough capacity anymore. Therefore we need to install more interfaces in the servers and use all available paths in the network. In this paper we...
conference paper 2013
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Khiari, J (author), Moreira-Matias, L (author), Cerqueira, Vitor (author), Cats, O. (author)
The efficiency of Public Transportation (PT) Networks is a major goal of any urban area authority. Advances on both location and communication devices drastically increased the availability of the data generated by their operations. Adequate Machine Learning methods can thus be applied to identify patterns useful to improve the Schedule Plan. In...
conference paper 2016
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Dwivedi, Yogesh K. (author), Janssen, M.F.W.H.A. (author), Slade, Emma L. (author), Rana, Nripendra P. (author), Weerakkody, Vishanth (author), Millard, Jeremy (author), Hidders, Jan (author), Snijders, D. (author)
Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through...
journal article 2016
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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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Böhm, J. (author), Bredif, M. (author), Gierlinger, T. (author), Krämer, M. (author), Lindenbergh, R.C. (author), Liu, K. (author), Michel, F. (author), Sirmacek, B. (author)
Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one working day. What is still difficult is to extract and visualize meaningful information hidden in these point clouds with the same efficiency. This...
journal article 2016
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Susha, Iryna (author), Janssen, M.F.W.H.A. (author), Verhulst, Stefaan (author)
Purpose: In “data collaboratives”, private and public organizations coordinate their activities to leverage data to address a societal challenge. This paper aims to focus on analyzing challenges and coordination mechanisms of data collaboratives. Design/methodology/approach: This study uses coordination theory to identify and discuss the...
journal article 2017
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Filippidou, F. (author), Nieboer, N.E.T. (author), Visscher, H.J. (author)
The existing housing stock plays a major role in meeting the energy saving targets set in the Netherlands as well as in the EU. Existing buildings account for 38% of the final energy consumption in the European Union (EU), and they are responsible for 36% of the CO<sub>2</sub> emissions. Energy renovations in dwellings offer unique...
journal article 2017
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Susha, I. (author), Verhulst, Stefaan (author), Janssen, M.F.W.H.A. (author), Pardo, Theresa (author)
This panel is dedicated to the theme of 'data collaboratives', a novel form of public private partnership to leverage data for addressing societal challenges. The panel brings together prolific researchers and practitioners to share lessons and discuss how value is created from data collaboratives for the solving of public problems. The panel...
conference paper 2017
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Matheus, R. (author), Janssen, M.F.W.H.A. (author), Maheshwari, D. (author)
Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the...
journal article 2018
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Bouwman, W.A.G.A. (author), Nikou, Shahrokh (author), Molina-Castillo, Francisco Jose (author), de Reuver, Mark (author)
Purpose: This paper aims to explore how digital technologies have forced small- to medium-sized enterprises (SMEs) to reconsider and experiment with their business models (BMs) and how this contributes to their innovativeness and performance. Design/methodology/approach: An empirical study has been conducted on 338 European SMEs actively...
journal article 2018
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Veeneman, Wijnand (author), van der Voort, H.G. (author), Hirschhorn, Fabio (author), Steenhuisen, B.M. (author), Klievink, A.J. (author)
The promise of big data in the field of mobility is great, for example for mobility-as-a-service solutions. Having a better sense of the existing flows over the network would allow for much improved modelling of future flows and nudging users into behaviours targeting collectively better outcomes. Because of this promise the interest that...
journal article 2018
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Jiang, X. (author)
Structural integrity assessment is the study of the safe design and assessment of components and structures under loads, and has become increasingly important in engineering design. The technology and applications of structural integrity widely range from transportation, oil and gas, power generation to petrochemical, nuclear sectors, etc. In...
conference paper 2018
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Wahyudi, A. (author), Kuk, George (author), Janssen, M.F.W.H.A. (author)
Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data quality. The task of improving data quality is a recurring challenge. In this paper, we use a case study of a large telecom company to develop a generic process pattern model for improving data quality....
journal article 2018
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Susha, I. (author), Grönlund, Åke (author), Van Tulder, Rob (author)
The volume of data collected by multiple devices, such as mobile phones, sensors, satellites, is growing at an exponential rate. Accessing and aggregating different sources of data, including data outside the public domain, has the potential to provide insights for many societal challenges. This catalyzes new forms of partnerships between...
journal article 2018
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Yap, M.D. (author), Munizaga, Marcela (author)
This paper synthesizes evidence from Workshop 8 ‘Big data in the digital age and how it can benefit public transport users’ of the 15th International Conference on Competition and Ownership in Land Passenger Transport. Big data in public transportation has increasingly attracted the attention from both scientists and practitioners, resulting...
journal article 2018
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Fearnhead, Paul (author), Bierkens, G.N.J.C. (author), Pollock, Murray (author), Roberts, Gareth O. (author)
Recently, there have been conceptually new developments in Monte Carlo methods through the introduction of new MCMC and sequential Monte Carlo (SMC) algorithms which are based on continuous-time, rather than discrete-time, Markov processes. This has led to some fundamentally new Monte Carlo algorithms which can be used to sample from, say, a...
journal article 2018
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Rehena, Z. (author), Janssen, M.F.W.H.A. (author), Chattopadhya, Samiran (author)
Smart cities have been heralded for improving traffic management by utilizing data for making better traffic management decisions. Multi-sided platforms collect data from sensors and citizen-generated data on one side and can provide input for decision-making using data analytics by governments and the public on the other side. However, there...
journal article 2018
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Van Den Homberg, Marc (author), Susha, I. (author)
Reporting on the Sustainable Development Goals (SDGs) is complex given the wide variety of governmental and NGO actors involved in development projects as well as the increased number of targets and indicators. However, data on the wide variety of indicators must be collected regularly, in a robust manner, comparable across but also within...
journal article 2018
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Wahyudi, A. (author), Farhani, Adiska (author), Janssen, M.F.W.H.A. (author)
Today’s financial service organizations have a data deluge. A number of V’s are often used to characterize big data, whereas traditional data quality is characterized by a number of dimensions. Our objective is to investigate the complex relationship between big data and data quality. We do this by comparing the big data characteristics with...
conference paper 2018
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Bouwman, W.A.G.A. (author), Nikou, Shahrokh (author), de Reuver, Mark (author)
Digital transformation is requiring companies to rethink and innovate their business models (BMs). However, small- and medium-sized enterprises (SMEs)have scarce time and resources for experimenting with their BMs and implementing new strategies. This paper examines whether SMEs that undergo digital transformation perform better if they...
journal article 2019
Searched for: collection%253Air
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