Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Marvin Meeng"'
Publikováno v:
Intelligent Data Analysis. 24:1403-1439
Subgroup Discovery is a supervised, exploratory data mining paradigm that aims to identify subsets of a dataset that show interesting behaviour with respect to some designated target attribute. The way in which such distributional differences are qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4598b4a628e1f4ba77b8e0f2654c61bd
https://doi.org/10.3233/ida-194719
https://doi.org/10.3233/ida-194719
Autor:
Arno Knobbe, Marvin Meeng
Publikováno v:
Data Mining and Knowledge Discovery. 35:158-212
Subgroup discovery (SD) is an exploratory pattern mining paradigm that comes into its own when dealing with large real-world data, which typically involves many attributes, of a mixture of data types. Essential is the ability to deal with numeric att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::779ca09363f817373f5536af9ef8789b
https://doi.org/10.1007/s10618-020-00703-x
https://doi.org/10.1007/s10618-020-00703-x
Autor:
Wouter Duivesteijn, Marvin Meeng
Publikováno v:
Solving Large Scale Learning Tasks. Challenges and Algorithms ISBN: 9783319417059
Solving Large Scale Learning Tasks
Solving Large Scale Learning Tasks
As is well known since Furnkranz and Flach’s 2005 ROC ‘n’ Rule Learning paper [6], rule learning can benefit from result evaluation based on ROC analysis. More specifically, given a (set of) rule(s), the Area Under the ROC Curve (AUC) can be in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a5208752d47ab4410d979ebec41b05
https://doi.org/10.1007/978-3-319-41706-6_14
https://doi.org/10.1007/978-3-319-41706-6_14
Publikováno v:
Information Sciences, 329, 950-964
Information Sciences
Information Sciences
Predefined pattern detection from time series is an interesting and challenging task. In order to reduce its computational cost and increase effectiveness, a number of time series representation methods and similarity measures have been proposed. Mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::276587f61e994929cabd1add28832100
https://hdl.handle.net/1887/43527
https://hdl.handle.net/1887/43527
Publikováno v:
Population Reconstruction ISBN: 9783319198835
Population Reconstruction
Population Reconstruction
This chapter covers the topic of record linkage in historic texts, specifically documents from the Middle Ages and Early Modern period. The challenge of record linkage, in general, is to analyze large collections of data recording people, with the ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d348b4a9dc30c22b21bf457eb7e0693
https://doi.org/10.1007/978-3-319-19884-2_9
https://doi.org/10.1007/978-3-319-19884-2_9
We consider data where examples are not only labeled in the classical sense (positive or negative), but also have costs associated with them. In this sense, each example has two target attributes, and we aim to find clearly defined subsets of the dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ac7721133352c816319a84ceb9fade
https://hdl.handle.net/1887/3198357
https://hdl.handle.net/1887/3198357
Publikováno v:
Proceedings of the 2014 SIAM International Conference on Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d30d3d882ab9eb99cb343bed5102608b
https://doi.org/10.1137/1.9781611973440.81
https://doi.org/10.1137/1.9781611973440.81
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642403187
PAKDD Workshops
PAKDD Workshops
In this paper we consider data where examples are not only labeled in the classical sense (positive or negative), but also have costs associated with them. In this sense, each example has two target attributes, and we aim to find clearly defined subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eefdc97def61a4e5722e7e669d6a7bc
https://doi.org/10.1007/978-3-642-40319-4_35
https://doi.org/10.1007/978-3-642-40319-4_35
Publikováno v:
Proceedings of the ACM SIGKDD Workshop on Useful Patterns.
In this paper, we present a method for pattern selection in collections of patterns discovered in multivariate time-series. Because our data is continuous in nature, the pattern language we consider is somewhat out of the ordinary, compared to the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4d9c1eb281292820b88fa4561c0f68e
https://doi.org/10.1145/1816112.1816122
https://doi.org/10.1145/1816112.1816122
Publikováno v:
Pure TUe
Sensors are increasingly being used to monitor the world around us. They measure movements of structures such as bridges, windmills, and plane wings, human’s vital signs, atmospheric conditions, and fluctuations in power and water networks. In many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c288fe72785f694c91c93e22fea47220
https://research.tue.nl/en/publications/a87d66be-8b2c-4f3c-b516-41c2552bad28
https://research.tue.nl/en/publications/a87d66be-8b2c-4f3c-b516-41c2552bad28