685 search results for “data mining” in the Public website
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identities and (post)-transcriptional regulation using single- cell data
PhD defence
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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EuDEco case study report (D1.3)
D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…
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Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
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Wessel Kraaij appointed Professor of Applied Data Analytics
Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.
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Making policy with big data
Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.
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transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Sharing personal health data
Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.
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reconstruction of the codex Añute palimpsest using hyperspectral imaging data
A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.
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Decoding supplier codes of conduct with content and text as data approaches
The growing popularity of corporate self-regulation to address supply-chain issues puts Corporate Social Responsibility and specifically codes of conduct, at the centre of attention. In this article, Jaroslaw Kantorowicz, Sarah Vandenbroucke and Yvonne Erkens analyse supplier codes of conduct of multinational…
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A document classifier for medicinal chemistry publications trained on the ChEMBL corpus
Source: J Cheminform, Volume 6, Issue 1 (2014)
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The End of our Third Decade (volume I)
Papers written on the occasion of the 30th anniversary of the Institute of Prehistory, Volume I.
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
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Big data on a small scale
Mirjam van Reisen favours big data built up from local inputs in developing countries and suitable for local use. The new Professor of Computing for Society at Leiden's Faculty of Science connects data science with development sociology. Inaugural lecture 10 March.
- Why Leiden University?
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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The Wadi Al Jizzi Archaeological Project
The Wadi al Jizzi Archaeological Project is a systematic and long term archaeological surface survey project, investigating the rich archaeological heritage of the Wadi al Jizzi region (Oman) from the Paleolithic until the early Modern period.
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Symposium with first cohort of Data Science PhD students
On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.
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Data Science certificates awarded to employees of Ministry IenW
On Monday, June 24th, 24 employees of the Ministry of Infrastructure and Water Management (IenW) received their certificates for completing Data Science courses, offered by the Leiden Centre of Data Science.
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Statistics Netherlands (CBS) starts initiative for Big Data research
Today, CBS launches the Center for Big Data Statistics (CBDS), a cooperation of an unprecedented scale in the field of Big Data. Leiden University and HumanityX are key partners.
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Digital Archaeology. Promises and Impasses.
Analecta Praehistorica Leidensia 51
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Data science helps in speed skating race for gold
Winning gold in speed skating at the Olympic Games is not just a matter of training hard; data science can also lend a hand. Jeroen van der Eb of the Leiden Institute of Advanced Computer Science (LIACS) developed the measuring skate for this purpose, with which he recently won the Nationale Sportinnovator…
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CIMPLO – Maintenance prediction for industries
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.
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More powerful data centre will accelerate research
Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…
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Irith Kist
Faculteit Rechtsgeleerdheid
i.r.kist@law.leidenuniv.nl | +31 71 527 8838
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Exploring new methods at Research Lab Legal Data Science
How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.
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Sports and data analytics: discovering the unknown known
The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.
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detection and GIS for archaeological prospection in remotely-sensed data
The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.
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Cor Veenman (NFI) researcher Forensic Big Data Science at LIACS
On December 4th an agreement was signed between the Leiden Institute of Advanced Computer Science (LIACS) and the Netherlands Forensic Institute (NFI). Cor Veenman (NFI) will perform research in the field of Forensic Big Data Science at LIACS.
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learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Mirko Forastiere
Science
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Mark Roelofsen
Faculty Governance and Global Affairs
m.roelofsen@fgga.leidenuniv.nl | +31 70 800 9589
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EuDEco
EuDEco (Modelling the European Data Economy) is a Coordination & Support Action (CSA) receiving funding from the European Union’s Horizon 2020 programme.
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Helena Ursic presented at the Big Data conference in Ljubljana, Slovenia
On May 22 eLaw's researcher Helena Ursic spoke at the international conference
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Master's students Data Science present solutions to central government and the House of Representatives
On 1 November 2019, international Master's students Data Science from Leiden University presented the elaboration of their data concepts to senior officials of the House of Representatives and Rijks I-Ecosysteem. With the presentation, they successfully completed this part of the Data Science master…
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PhD Candidates in Data Science
The Centre for Digital Humanities is pleased to announce that we are searching for two PhD Candidates who will carry out research within the Centre for Digital Humanities and the Leiden Centre of Data Science.
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Digging for data: the rise and fall of a Miocene mammal biodiversity hotspot in the Vallès-Penedès (Catalonia, Spain)
The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.
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Algorithms and Software Technology
The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.
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From scarcity to abundance: big data in archaeology
New digital methods and a data explosion are radically changing archaeological research. Karsten Lambers, Associate Professor of Archaeological Computer Science, tells us all about it.
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eLaw workshop at the Big Data Value Forum in Versailles
On November 22nd 2017 eLaw co-organized with partners of the e-SIDES project a workshop on the ethical, legal and socio-economic implications of big data.
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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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How can we connect data science and law?
At the Hague University of Applied Sciences, a stakeholder meeting took place on 4 April in the context of peace and justice in a digital world. The meeting was an initiative of Leiden University (LCDS, eLaw) and the Hague University of Applied Sciences, to explore joint curriculum development in the…
- Institute of Environmental Sciences
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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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Susan van den Brink
Science
s.van.den.brink@cml.leidenuniv.nl | +31 71 527 2727
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Catrin Böcher
Science
c.bocher@cml.leidenuniv.nl | +31 71 527 2727
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Janneke van Oorschot
Science
j.van.oorschot@cml.leidenuniv.nl | +31 71 527 7461
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Diana Suhardiman
Gelieerde instellingen
suhardiman@kitlv.nl | +31 71 527 2458
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Gold in Ghana
Research on the process of artisanal and small-scale mining (ASM) in West-Africa
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Data science can reduce likelihood of virus outbreaks
Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.