1,813 search results for “data analysis” in the Public website
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Applied multivariate data analysis
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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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Countering Lone Actor Terrorism: Data Collection & Analysis
This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.
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Missing data procedures in multivariate analysis
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Lone Actor Terrorist Attack Planning and Preparation: A Data‐Driven Analysis
This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.
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Harold Nefs
Faculteit der Sociale Wetenschappen
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
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Ralph Rippe
Faculteit der Sociale Wetenschappen
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Arno Knobbe in NWO publication 'Experiment NL' on intensive data analysis
Speed skating coach and human movement scientist Jac Orie has been capturing all details about the performance of 'his' skaters for fifteen years. Thanks to data scientist Arno Knobbe, who calculates the collected data in new ways, Orie can train his team even smarter in the run-up to the Olympic Winter…
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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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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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Mathijs Deen
Faculteit der Sociale Wetenschappen
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Data analysis is really helping the Dutch national women’s football team
The European Football Championship for Women, in the Netherlands this summer, is the background for a large and innovative data research project. The Dutch football union is working together with Leiden University and Sportinnovator. The research is expected to uncover links that have thus far remained…
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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Data analysis of dark web forums in the fight against child sexual abuse
By far the majority of users of child sexual abuse networks (or child porn forums as they are sometimes called) on the dark web do not actively communicate there but download illegal material, therefore committing a criminal offence. But they often stay under the police and judiciary’s radar. PhD candidate…
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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EuDEco Report on the legal analysis (D2.2)
D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…
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Mirko Forastiere
Science
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development of methods and tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…
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EuDEco report on the analysis of framework conditions (D1.2)
D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…
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Image analysis & storage
Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.
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Linda Breeman
Faculteit der Sociale Wetenschappen
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Guilherme D'Andrea Curra
Faculteit Archeologie
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Spatial analysis of cultural landscapes through remote and close range sensing data
What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
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Joost van Ginkel
Faculteit der Sociale Wetenschappen
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Bastienne Vriesendorp
Science
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Vincent Croft-
Science
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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
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Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
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New Methods for (f)MRI Analysis
Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.
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Data Analytics and Management
Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…
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Data Science: Computer Science (MSc)
The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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textnets: A Python package for text analysis with networks
With textnets it is possible to visualize and analyze textual data in novel ways.
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Algorithmic tools for data-oriented law enforcement
Promotor: J.N. Kok, Co-promotor: W.A. Kosters
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Sport Data Center
Sport Data Center
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‘For good measure’: data gaps in a big data world
Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.
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Statistics and Data Science
The group Statistical Science is responsible for research and teaching in statistics and data science.
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Multiway Analysis
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Statistics & Data Science (MSc)
The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.
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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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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,