|prof. Hendrik Blockeel
Hendrik Blockeel is a part-time associate professor at LIACS, and professor at the Katholieke Universiteit Leuven. He is the holder of a VIDI grant from the NWO, on the subject of "Annotated Graph Mining". The goal of this project is to develop representations and algorithms for mining graphs were nodes and edges in the graph may have complex annotations. Besides graph mining, Hendrik Blockeel's research interests include theory and algorithms for machine learning and data mining in general, with a particular focus on relational learning, probabilistic logics, inductive knowledge bases, and applications of these techniques in the broader field of computer science, bio-informatics, and medical informatics. read more...
prof. Joost Kok|
Joost Kok is the Scientific Director of the LIACS, co-head of the research clusters Algorithms and Foundations of Software Technology. read more...
|Arno Knobbe, PhD
Arno is a researcher at the LIACS since November 2008, after spending four years at Utrecht University. The subject of his thesis, which can be found here, was Multi-Relational Data Mining. His current research includes Multi-Relational Data Mining, Bioinformatics, Local Patterns and Pattern Teams, and Computer Vision. read more...
|Walter Kosters, PhD|
Walter Kosters is assistant professor in the group of Joost Kok. His research interests include data mining and artificial intelligence, and in particular association rule mining read more...
|Peter van der Putten, PhD
a guest researcher at the Leiden Institute of Advanced Computer Science (one day a week), and Worldwide Director of Decisioning Solutions at Pegasystems read more...
|Robert Brijder, PhD
Robert Brijder received his PhD in 2008 within the Theoretical Computer Science group of LIACS under supervision of Grzegorz Rozenberg. Since then he is a post-doctoral researcher within VIDI project "Annotated Graph Mining of Hendrik Blockeel. His current and past research topics include... read more...
Wouter is working on the NWO Exceptional Model Mining (EMM) project. EMM is a framework that can be seen as a generalisation of Subgroup Discovery (SD). Both SD and EMM attempt to find small portions of the data where the observed behaviour is notably different from that of the database as a whole. But, whereas in SD `behaviour' is traditionally interpreted in terms of the distribution of a single nominal variable, EMM seeks subgroups for which the fitted local model is surprisingly different from the global model. In this approach, `behaviour' is described by a number of attributes, and fitting a model captures the multivariate dependencies between these attributes. read more...
Arne is a postdoctoral researcher at the LIACS, working on the InfraWatch project.
Scientific programmer at the LIACS since March 2009, under the supervision of Arno Knobbe. Though now mainly occupied with Data Mining, he obtained his MSc in Cognitive Artificial Intelligence at the Philosophy department of Utrecht University. Being oriented towards philosophical subjects related to the human mind initially, focus shifted towards more practical areas related to machine learning later on. Resulting in a thesis about a Dual Purkinje Image Eyetracker at the Experimental Psychology division first, and his current employment after that. Currently the main research areas and projects are... read more...
Shengfa obtained his MSc in Computer Software and Theory from Lanzhou University in June 2009. He is currently a PhD candidate at LIACS working on the InfraWatch project. His research interests lie in the areas of Data Mining, Embedded Databases and Search Engines. read more...
Dejan is a PhD student at LIACS supervised by Peter van der Putten. He studied MSc ICT in Business at Leiden University and became only the second Cum Laude graduate in the history of this program. Currently, he is working at T-Mobile Netherlands on commercial applications of data mining in telecommunications, mainly customer churn prediction and retention.
Hossein is a PhD student at the LIACS. He works in the area of "Annotated Graph Mining" under supervision of Hendrik Blockeel. His domain of interest is analyzing Protein Protein Interaction (PPI) Networks where each node in the graph is a protein and edges are interactions among the proteins. The protein function prediction was chosen as the main problem in the area of PPI networks. A novel approach was proposed which is based on the protein description formalism that also considers the global information, namely information that locates a protein relative to other specific proteins in the network. read more...
Marijn Schraagen is an Artificial Intelligence graduate from Utrecht University. His academic background ranges from philosophy of mind to neuroscience, linguistics and (unsurprisingly) data mining. Currently he is working on the LINKS project, supervised by Walter Kosters, Nies Huijsmans and Hendrik Jan Hoogeboom. This projects aims to extract domain knowledge and relations from a large database of Dutch historical civil records.
From 2004 until 2010, Frank studied Computer Science (BSc and MSc) at Leiden University. He is currently a PhD Student in the COMPASS project, a NWO funded project about data mining on streams and graphs. read more...
Joaquin is a post-doctoral researcher at LIACS, working on the InfraWatch project. He obtained his PhD at the KU Leuven, Belgium on the topic of meta-learning, the study of understanding when and why learning algorithms work well on certain types of data. He is a fervent proponent of e-Science architectures, which organize the results of researchers from around the world so they can be combined and reused to answer questions quickly and tackle ever larger problems. With this aim, he set up the experiment database for machine learning, an online platform to share and browse machine learning results. Besides this, his research interests include grid computing, ontology design, theory and algorithms for data mining in general and its multidisciplinary applications. read more...
Ugo obtained his MSc in Computer Science from the University of Pisa in June 2010. He is currently a PhD candidate at LIACS working on the InfraWatch project. Ugo is mainly interested in algorithm design, web and data mining, machine learning and information retrieval. read more...
After studying Computer Science at the Universiteit Leiden, Tijn became a PhD-student in the "Annotated Graph Mining" project under supervision of Hendrik Blockeel. Normally, data mining focusses only on the content or only on the relations. Sometimes however, the data have both contentwise information and relational information. Annotated Graph Mining focusses on developing data mining techniques that uses both types of information aiming to get better results... read more...
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