689 search results for “data mining” in the Public website
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Tools and data
Overview of CML software and data
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Research
At the Sport Data Center, five research themes are explored.
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Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
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Science, Management and Innovation (SMI)
The Science, Management and Innovation (SMI) group examines organisational dynamics governing the management of complex R&D projects and technology commercialisation.
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Complex Patterns in Streams
The goal of the project is the development of stream mining techniques for complex patterns such as graphs. We will try to extend the existing state-of-the-art techniques into two, orthogonal directions: on the one hand, the mining of more complex patterns in streams, such as sequential patterns and…
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Leiden University protects your data
At Leiden University we like to stay in touch with our alumni. We therefore invite you by post, email or phone to lectures, workshops and masterclasses for alumni and inform you about developments in your field and at the University. With your knowledge and experience, you also make a valuable contribution…
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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About the programme
Within the two-year Astronomy master’s programme, you can choose from seven specialisations, ranging from fundamental or applied astronomy research in cosmology, instrumentation or data science, to combinations of astronomy research with education, management or science communication.
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Handbook of Governance and Data Science
Edward Elgar
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Leiden: Silicon Valley of FAIR data
If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.
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Health Data Science special interest group
Health Data Science Leiden University
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Missing data procedures in multivariate analysis
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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Peter Grünwald
Science
pdg@math.leidenuniv.nl | +31 71 527 2727
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7144
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Gino Bertrand Kpogbezan
Science
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Kevin Duisters
Science
k.l.w.duisters@math.leidenuniv.nl | +31 71 527 2727
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Jelle Goeman
Faculteit Geneeskunde
j.j.goeman@lumc.nl | +31 71 526 9700
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 2727
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Data Centres for Natural Recources and Products
Creating information portals for support of European environmental policy.
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Pascal chair 2023
Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…
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Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.leidenuniv.nl | +31 71 527 2727
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
o.m.tuazon@law.leidenuniv.nl | +31 71 527 8838
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Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
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Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
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Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution
On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…
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Green miner: new plant species mines metal
A plant that takes metal from the ground all by itself: a natural way to mine or to clean the soil. PhD student Roderick Bouman (Hortus Botanicus Leiden) described a new plant species from Sabah, Borneo, which can be used to extract nickel. In an open access article in Botanical studies, he and the…
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Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Bibliometric Data Sources and Indicators (online)
Research
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Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…
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Tanja Masson-Zwaan discusses Space Mining on BBC Radio
Tanja Masson-Zwaan, an assistant professor at the Institute of Air and Space Law, spoke on Friday 14 April about space mining on BBC Radio.
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Essays on wealth, health, and data collection
On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.
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Tools and Data
Tools and Data of the department of Environmental Biology
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Laboratories for Digital Archaeology
The Digital Archaeology research group manages two computer laboratories with different purposes: the teaching lab (F1.01) and the research lab (A1.13a).
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Data science course at (water management) Rijkswaterstaat
Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…
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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises
Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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The urban mine is full of resources, but a circular economy is still too ambitious
Reuse everything and stop producing waste. By 2050, the Netherlands should have a circular economy. However, the new Integral Circular Economy Report by the Netherlands Environmental Assessment Agency (PBL) shows that there is still a long way to go. For the report, the Institute of Environmental Sciences…
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LED3 Lecture: Data Science in Drug Discovery
Lecture
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Research in Physics, Classical/Quantum Information (MSc)
This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…
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Computational Drug Discovery
Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…
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Nanodata – Data providing services in support of research and policy in the field of nanosciences and nanotechnologies
This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.
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International Environmental Obligations and Liabilities in Deep Seabed Mining
On Tuesday 26 June Linlin Sun will defend her dissertation entitled ‘International Environmental Obligations and Liabilities in Deep Seabed Mining’. The dissertation has been written under the supervision of prof. dr. N.J. Schrijver and prof. dr. E.C.P.D.C. De Brabandere.
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The city as a mine has the future
In an (Dutch) interview with the regional Leiden newspaper “Leidsch Dagblad”, Ruben Huele and Ester van der Voet talk about the recently started project PUMA (Prospecting the Urban Mines of Amsterdam).
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Danny Mekic
Faculteit Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | +31 71 527 2727
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Mathijs Deen
Faculteit der Sociale Wetenschappen
m.l.deen@fsw.leidenuniv.nl | +31 71 527 2727