870 search results for “data mining” in the Public website
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Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
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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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Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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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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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Algorithmic tools for data-oriented law enforcement
Promotor: J.N. Kok, Co-promotor: W.A. Kosters
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Improving football skills using data-mining
Using positional data to determine which tactics lead to a successful attack? Rens Meerhoff, researcher at the Sports Data Center of the Leiden Institute of Advanced Computer Science (LIACS), has been using data-mining to analyse football tactics for several years. In Friesch Dagblad he explains the…
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Matthijs van Leeuwen
Science
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Leiden hosts first knowledge café on text and data mining
Text and data mining: searching and analysing large quantities of texts, images or other data. On 29 February during a Knowledge Café in the Academy Building visitors discussed the question of why this method isn't being widely applied in Europe.
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics. The network is embedded in the Leiden Centre of…
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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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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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Mining, post-mining and Multicultural Limburg
Research on mining and post-mining history of Limburg
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Pattern mining for label ranking
Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe
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Bing Xie
Science
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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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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Ariadne and Linked Open Data
The Digital Archaeology chairgroup is currently still involved in a project related to EDNA project (national data archive for archaeology). Although this time the focus on innovative research in Computer applications is much stronger. All the archaeological projects in the e-archive are documented…
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
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Mining the mentor's mind
The elicitation of mentor teachers' practical knowledge by prospective teachers
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PUMA (Prospecting the Urban Mines of Amsterdam)
PUMA aims at composing a geological map of the urban mine of Amsterdam for a selection of metals. Where are main deposits of copper, iron and aluminium located, when will they become available for secondary production, in what state and shape are they?
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Leiden Centre of Data Science
The Leiden Centre of Data Science (LCDS) is a network of researchers from different scientific disciplines, who use innovative methods to deal with large amounts of data.
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Using data to improve sports performances
‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.
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Frank Takes
Science
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Astronomy and Data Science (MSc)
The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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Bart Custers
Faculteit Rechtsgeleerdheid
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Bas van Stein
Science
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Citizen Science and Networks
How can citizen science be used to communicate and provide data for social network analysis?
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Data Science: Statistical Science (MSc)
The Data Science for Statistical Science master’s specialisation at Leiden University gives you a better understanding of statistical models, especially in relation to Data Science, including their application and interpretation in a broad range of empirical research.
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International Environmental Obligations and Liabilities in Deep Seabed Mining
On dinsdag 26 juni 2018, Linlin Sun defended her doctoral thesis ‘International Environmental Obligations and Liabilities in Deep Seabed Mining’. The doctoral research was supervised by Prof. dr. N.J. Schrijver en Prof. dr. E.C.P.D.C. De Brabandere.
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Applying Data Mining in Telecommunications
PhD Defence
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Exploring the opportunities of big data in archaeology
‘Big data’ is currently a hot topic and it is extremely relevant for archaeology, as new digital methods and a data explosion are radically changing archaeological research. What exactly is big data and how can we apply new data science techniques in archaeology? This was the topic of the 19th LCDS…
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Labour in the Establishment of the Iranian Copper Mining Industry: The Sarechhemseh Copper Mine 1966-1979
Abdolreza Alamdar Baghini defended his thesis on 5 December 2019.
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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
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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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CEEDs, the Collective Experience of Empathic Data Systems
The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.
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EU Erasmus+ Curriculum Development in Data Science and Artificial Intelligence
LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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What's mine is yours and what's yours is mine: Teacher communities as a means to increase adoption of Open Educational Resources in curricula
Open Educational Resources (OER) have the potential to change teaching in Higher Education, but adoption is low despite the growing amount of resources available. The current project aims to investigate if and how teacher communities can foster adoption of OER in curricula.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.
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8th LCDS meeting: data science goes back to its roots
How are data science and statistics related? And what can data scientists learn from statisticians? These were the central questions of the 8th meeting of the Leiden Centre of Data Science (LCDS), which took place on Friday, November 13th. Recent developments in the field of statistics, including new…
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Data
Data Sets Department of Economics