786 search results for “data mining” in the Public website
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Mathijs Deen
Faculteit der Sociale Wetenschappen
m.l.deen@fsw.leidenuniv.nl | +31 71 527 2727
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Gerrit-Jan Zwenne
Faculteit Rechtsgeleerdheid
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
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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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Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
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Computational linguistics
Computational linguistics uses computational methods to help answer linguistics questions across a variety of topics.
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Is the mining industry the route to influence North Korea?
North Korean detention camps are no different from Nazi prison camps. But as long as the country remains economically isolated, international criticism will be ineffective, writes North Korea expert Remco Breuker in the opinion section of Dutch newspaper NRC on 21 February. Breuker advocates using the…
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About us
Data Science
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Data Science for State-of-the-Art Blood Banking (BloodStart)
There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Software and Business
The mission of Software and AI in Business (SA&B)connects the domains of science, business, and policy. Scientific research we focus on at Leiden in areas such as artificial intelligence promises to reshape our societies for the better. Translating science into positive societal impact however requires…
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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About the programme
The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.
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About the programme
The two-year Bioinformatics programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The specialisation combines one year of Computer Science research (60 – 80 EC) with one year of science communication courses, internships and research (40-60 EC).
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Legal and policy aspects of space big data
On 27 May, Dimitra Stefoudi defended the thesis 'Legal and policy aspects of space big data: legal implications of the use of large amounts of space data – regulatory solutions and policy recommendations'. The doctoral research was supervised by Steven Truxal and Bart Custers.
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
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Fatma Çapkurt
Faculteit Rechtsgeleerdheid
f.capkurt@law.leidenuniv.nl | +31 71 527 7278
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Ralph Rippe
Faculteit der Sociale Wetenschappen
rrippe@fsw.leidenuniv.nl | +31 71 527 3889
- OSCoffee: Building a data competence center for Population Health Management
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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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LIACS receives NWO grant in Challenging Big Data program
The Leiden Institute of Advanced Computer Science (LIACS) received a grant award from NWO for a joint proposal with Centrum Wiskunde & Informatica (CWI, Amsterdam), Tata Steel (IJmuiden), BMW (Munich), and database company MonetDB. Within the NWO Data Science program ‘challenging big data‘, LIACS is…
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
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Applied statistics as a pillar of data science
Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…
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Cheminformatics: Analyzing small-molecule activity data
While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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Enhancing the societal impact of academic publications (Creatieve Industrie – NWO KIEM)
The central goal of academic publishers is the dissemination of the results of research and scholarship. Their audiences can generally be divided into two categories. Academic publications are firstly made accessible to the scholarly community, so that these texts can form the input for new academic…
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Exploring Means to Facilitate Software Debugging
In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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Making big data meaningful for a promising start
All children deserve a promising start. Most children are doing fine. But some need extra support, because of problems during pregnancy or because they grow up in disadvantaged circumstances, e.g. due to poverty, parental addictions or psychological problems.
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Transition from fossil to clean energy will reduce global mining activities
A wide range of metals need to be mined for solar panels, wind turbines and batteries. But the overall mining activity is set to decrease as clean energy replaces fossil fuels such as oil, coal and gas.
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Artificial Intelligence (MSc)
The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Centre for Digital Heritage (CDH)
The Centre for Digital Heritage undertakes collaborative international research in the field of Digital Heritage. It is an initiative of the University of York.
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Science based business
The mission of science based business (SBB) connects the domains of science, business, and policy. Scientific research we focus on at Leiden in areas such as artificial intelligence promises to reshape our societies for the better. Translating science into positive societal impact however requires new…
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Bioinformatics (MSc)
The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Webinars
On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…