1,544 search results for “text and data mining” in the Public website
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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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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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Making everything we know computer-readable
Data and information should be stored in a way that computers can understand, says Barend Mons, professor of Biosemantics at the Leiden University Medical Center and Chair of the High Level Expert Group for the European Open Science Cloud. We speak with him about FAIR data, knowlets and nanopublicat…
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Data science and visualisation by the government
On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.
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Elective Courses
LUCDH offers six elective courses to improve your practical skills and thinking about digital tools and media. These courses are open and useful for all students of the Humanities.
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‘Technology shouldn’t shape our future; we should’
Technology holds so much promise – from self-driving cars to enhanced physical performance from smart implants under the skin. But we should not let ourselves be caught off guard. That is the message of Bart Custers, Professor of Law and Data Science in his inaugural lecture on 21 May. ‘We don’t talk…
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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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Building a bridge between data science and the social and behavioural sciences
What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.
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Risks of big data not clearly identified in GDPR
The General Data Protection Regulation (GDPR) came into force in 2018. It was intended to protect the rights and freedoms of individual citizens from the risks of personal data processing. Meanwhile, the phenomenon known as big data has continued to advance at a fast pace. PhD defence on 12 Septembe…
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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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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
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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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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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Staying healthy with big data
By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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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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The Legend of Saint Aūr and the Monastery of Naqlūn: The Copto-Arabic Texts
Clara ten Hacken defended her thesis on 16 December 2015
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Data Carpentry for Social Sciences
OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.
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on sustainability transformations in Artisanal and Small-scale Gold Mining
An international and multi-disciplinary research consortium spent two days at Leiden University for the launch of their ‘GOLD MATTERS’ project, funded jointly by NORFACE and Belmont Forum. The project 'Sustainability Transformations in Artisanal and Small-scale Gold Mining: A Multi-Actor and Trans-Regional…
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Leiden University launches Data Science research programme
Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.
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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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Leiden bachelor students analyse data EC soccer
Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…
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ultimate leadership challenge: making critical decisions without enough data
The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…
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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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Could the General Data Protection Regulation save our online privacy?
In 2016 the General Data Protection Regulation (GDPR) entered into force. The GDPR aims to give control to individuals over their personal data and to simplify the regulatory environment for international businesses by unifying regulation within the EU. PhD candidate Helena Ursic-Vrabec examined the…
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Janneke van Oorschot
Science
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Diana Suhardiman Professor of Natural Resource Governance, Climate and Equity
Gelieerde instellingen
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Susan van den Brink
Science
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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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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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Growing super legs for the Tour de France with the aid of Leiden data science
Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…
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Multi-Omics in Research: Epidemiology, Methodology, and Advanced Data Analysis
PhD defence
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Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…
- GTGC lunch seminar: Sarah Giest on Digital Access, Data-Driven Policymaking and Public Service Delivery
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Big data cannot do without statistics
Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’
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Data Science Seminar for Fairness and Transparency
Data Science seminar at the Faculty of Governance and Global Affairs
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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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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The Holy Land in Observant Franciscan Texts (c. 1480–1650). Theology, Travel, and Territoriality
In The Holy Land in Observant Franciscan Texts (c. 1480–1650) Marianne Ritsema van Eck analyses the development of the complex Observant Franciscan engagement with the Holy Land during the early modern period.
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‘Standing Room Only’ at eLaw’s CPDP Panel on 'Dark Patterns and Data-Driven Manipulation'
With the conference circuit slowly reopening after Covid forced almost all academic interactions online, thousands of conference attendees descended on Brussels for Europe’s largest technology conference. eLaw’s annual sponsorship of one of the many CPDP conference panels brought a diverse range of…
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Data Science in Digital Health in Uganda
On 27 February, 2019, Kampala International University (KIU) was the venue of the conference ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen from the Leiden Centre of Data Science was one of the main speakers.
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Sifting through data the smart way
We produce more data than ever before, and researchers gather more and more information. That data contains a wealth of insights and new possibilities. But how do you extract them? In Leiden, statistics and information science come together in innovative multidisciplinary research. Read more in the…
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Essays on wealth, health, and data collection
PhD defence
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INFORM Day on EU Data Protection Law
On Friday November 2nd 2018, eLaw, the Center for Law and Digital Technologies at Leiden University, will host a one-day conference on the new EU Data Protection Law that came into force earlier this year.
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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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Bart Custers on notification obligation data leaks
The Dutch Data Protection Authority (DPA) has announced that 27,000 data leaks were reported in 2019, a huge increase compared to previous years. Bart Custers, Professor of Law & Data Science at eLaw ¬- Center for Law and Digital Technologies, claims in Dutch newspaper Trouw (22 February 2020) that…
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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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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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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.