[BOEK][B] Data mining: The search for knowledge in databases
M Holsheimer, APJM Siebes - 1994 - ir.cwi.nl
REPORTRAPPORT Page 1 Centrum voor Wiskunde en Informatica REPORTRAPPORT
Data Mining: the search for knowledge in databases M. Holsheimer, APJM Siebes Computer …
Data Mining: the search for knowledge in databases M. Holsheimer, APJM Siebes Computer …
Visualizing association rules with interactive mosaic plots
H Hofmann, APJM Siebes, AFX Wilhelm - Proceedings of the sixth ACM …, 2000 - dl.acm.org
Association rules are amongst the most important patterns that can be discovered using data
mining. Their automatic discovery is supported by most, if not all, data mining software tools…
mining. Their automatic discovery is supported by most, if not all, data mining software tools…
Wavelet transform based multifractal formalism in outlier detection and localisation for financial time series
ZR Struzik, APJM Siebes - Physica A: Statistical Mechanics and its …, 2002 - Elsevier
We present a method of detecting and localising outliers in financial time series and other
stochastic processes. The method checks the internal consistency of the scaling behaviour of …
stochastic processes. The method checks the internal consistency of the scaling behaviour of …
[BOEK][B] Multi-relational data mining
AJ Knobbe, H Blockeel, A Siebes… - 1999 - kiminkii.com
This thesis is concerned with Data Mining: extracting useful insights from large and detailed
collections of data. With the increased possibilities in modern society for companies and …
collections of data. With the increased possibilities in modern society for companies and …
Combining supervised and unsupervised machine learning methods for phenotypic functional genomics screening
There has been an increase in the use of machine learning and artificial intelligence (AI) for
the analysis of image-based cellular screens. The accuracy of these analyses, however, is …
the analysis of image-based cellular screens. The accuracy of these analyses, however, is …
[BOEK][B] Outlier detection and localisation with wavelet based multifractal formalism
ZR Struzik, APJM Siebes - 2000 - dl.acm.org
We present a method of detecting and localising outliers in stochastic processes. The
method checks the internal consistency of the scaling behaviour of the process within the …
method checks the internal consistency of the scaling behaviour of the process within the …
[PDF][PDF] Applying biclustering to understand the molecular basis of phenotypic diversity
E Mina, AJ Feelders, P Kemmeren, A Siebes - Phd. Utrecht University …, 2011 - Citeseer
High-throughput techniques, such as DNA microarrays, that are used in gene expression
measurements offer a unique and global insight into the molecular mechanisms of a living cell. …
measurements offer a unique and global insight into the molecular mechanisms of a living cell. …
[BOEK][B] An organic database system
ML Kersten, APJM Siebes - 1999 - dl.acm.org
The pervasive penetration of database technology may suggest that we have reached the
end of the database research era. The contrary is true. Emerging technology, in hardware, …
end of the database research era. The contrary is true. Emerging technology, in hardware, …
Towards a design theory for database triggers
APJM Siebes, MH Van der Voort… - Database and Expert …, 1992 - Springer
Advances in the area of active database management systems require the development of a
trigger design theory, which guides the user in the definition off well-behaving trigger based …
trigger design theory, which guides the user in the definition off well-behaving trigger based …
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review
MP Bron, PGM van der Heijden, AJ Feelders… - arXiv preprint arXiv …, 2024 - arxiv.org
Technology-Assisted Review (TAR) aims to reduce the human effort required for screening
processes such as abstract screening for systematic literature reviews. Human reviewers …
processes such as abstract screening for systematic literature reviews. Human reviewers …