Searched for: subject%3A%22Data%255C%2Bmining%22
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Lee, Sujin (author), Lee, Jinwoo (author), Hiemstra-van Mastrigt, S. (author), Kim, E.Y. (author)
As city-level modal splits are outcomes of city functions, it is essential to understand whether and how city attributes affect modal splits to derive a modal shift toward low-emission travel modes and sustainable mobility in cities. This study elucidates this relationship between modal splits and city attributes in 46 cities worldwide,...
journal article 2022
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Kunneman, Youetta (author), Alves da Motta-Filho, Mauricy (author), van der Waa, J.S. (author)
To support effective and successful projects, Service Design practitioners rely on insights that mainly build on qualitative research methodology. The literature on data science promises to help transform how design research is done, adding sophisticated quantitative analyses, complementing existing methods with the power of machines. Due to...
journal article 2022
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Coraddu, A. (author), Kalikatzarakis, Miltiadis (author), Walker, J.M. (author), Ilardi, Davide (author), Oneto, Luca (author)
The purpose of this chapter is to provide an overview of the state-of-the-art and future perspectives of Data Science and Advanced Analytics for Shipping Energy Systems. Specifically, we will start by listing the different static and dynamic data sources and knowledge base available in this particular context. Then we will review the Data...
book chapter 2022
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Chang, Haoliang (author), Huang, Jianxiang (author), Yao, Weiran (author), Zhao, Weizun (author), Li, L. (author)
Urban rail development can increase land value, reduce commute time, and increase accessibility, as reported in the literature. However, little is known about the impact of opening urban rail transit stations on people's sentiment, particularly in the context of large metropolises where population density is significantly high. This paper...
journal article 2022
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Herrera-Semenets, Vitali (author), Hernández-León, Raudel (author), van den Berg, Jan (author)
We live in a world that is being driven by data. This leads to challenges of extracting and analyzing knowledge from large volumes of data. An example of such a challenge is intrusion detection. Intrusion detection data sets are characterized by huge volumes, which affects the learning of the classifier. So there is a need to reduce the size...
journal article 2022
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Faber, Robin (author)
Agent-based simulation models are rising in popularity recently due to their ability to model real-world problems in a wide range of domains. Inherent to these types of simulations is the fact that an enormous amount of data can be generated, which needs to be analysed in order to make the simulation useful. At the moment, the available tools to...
master thesis 2021
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Liu, Y. (author), Semertzis, I. (author), Stefanov, Alexandru (author), Palensky, P. (author)
The security issues of Cyber-Physical power Systems (CPS) have attracted widespread attention from scholars. Vulnerability assessment emerges as an effective method to identify the critical components and thus increase the system resilience. While efforts have been made to study the vulnerability features of power systems under the occurrence...
conference paper 2021
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Athanasiou, Panagiotis (author), Van Dongeren, Ap (author), Giardino, Alessio (author), Vousdoukas, Michalis (author), Antolínez, José A. Á. (author), Ranasinghe, Roshanka (author)
Dune erosion driven by extreme marine storms can damage local infrastructure or ecosystems and affect the long-term flood safety of the hinterland. These storms typically affect long stretches (∼100 km) of sandy coastlines with variable topo-bathymetries. The large spatial scale makes it computationally challenging for process-based...
journal article 2021
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Bonifazi, A. (author), Sun, J. (author), van Baren, Gerben (author), Hoekstra, J.M. (author)
Not all flight data anomalies correspond to operational safety concerns. But anomalous safety events can be linked to anomalies in flight data. During the final phases of a flight, two significant safety events are unstable approach and goaround. In this paper, using Automatic Dependent Surveillance- Broadcast (ADS-B) data, we develop several...
conference paper 2021
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Bonifazi, Alberto (author)
This thesis shows that it is possible to produce safety knowledge by mining Automatic Dependent Surveillance-Broadcast (ADS-B) data. The methodology combines exceedance detection and anomaly detection techniques to identify anomalous safety events in approach flights. One of these events is unstable approaches, which are identified with a rule...
master thesis 2020
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ZHENG, Qianqian (author)
Emo:on-driven design inspects people’s emotional experiences in a targeted context and study the concerns behind these emo:ons. The is connected to an understanding to people’s personal experiences. Social media is playing an increasingly important role in daily life, as the technologies to do social media mining is developing, it is becoming a...
master thesis 2020
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Scott, Fred (author), Antolinez, Jose A.A. (author), McCall, Robert (author), Storlazzi, Curt (author), Reniers, A.J.H.M. (author), Pearson, S.G. (author)
Many coral reef-lined coasts are low-lying with elevations <4 m above mean sea level. Climate-change-driven sea-level rise, coral reef degradation, and changes in storm wave climate will lead to greater occurrence and impacts of wave-driven flooding. This poses a significant threat to their coastal communities. While greatly at risk, the...
journal article 2020
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Nastasi, B. (author), Manfren, Massimiliano (author), Noussan, Michel (author)
This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer...
contribution to periodical 2020
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Karina Anggelia, Karina (author)
This study aims to improve of secondhand market model used in the Maritime Business Game (MBG) & to judge the relevance of three data mining algorithms. Pruyn developed MBG to simulate the long term consequences of various shipping scenarios. MBG consists of three multilevel models to represent the maritime economy. Starting from the Multi...
master thesis 2019
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Scott, Fred (author)
Many tropical, coral reef-lined coasts, are low-lying with elevations less than five meters above mean sea level. Climate-change-driven sea level rise, coral reef decay and changes in (storm) wave climate will lead to greater chance and impacts of wave-driven flooding, posing a heavy threat to these coastal communities. Early warning systems ...
master thesis 2019
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Davis, D.J. (author)
doctoral thesis 2019
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Engström, Johan (author), Miller, Andrew (author), Huang, Wenyan (author), Soccolich, Susan (author), Ghanipoor Machiani, Sahar (author), Jahangiri, Arash (author), Dreger, F.A. (author), de Winter, J.C.F. (author)
This report gives an overview of the main findings from the Behavior-based Predictive Safety Analytics – Pilot Study project. The main objective of the project was to investigate the possibilities of developing statistical models predicting individual driver crash involvement based on individual driving style, demographic and behavioral history...
report 2019
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Sun, Junzi (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Open access to flight data from Automatic Dependent Surveillance-Broadcast (ADS-B) has provided researchers with more insights for air traffic management than aircraft tracking alone. With large quantities of trajectory data collected from a wide range of different aircraft types, it is possible to extract accurate aircraft performance...
journal article 2019
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Lin, Q. (author), Zhang, Yihuan (author), Verwer, S.E. (author), Wang, Jun (author)
This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like...
journal article 2019
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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be a valuable source of ship behavior analysis using data mining. It records ship position, speed and other behavior attributes at specific time intervals in all voyages at sea and in ports. However, the current studies in ship behavior analyze the...
journal article 2019
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