Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Potharst, R."'
Autor:
Pijls, W.H.L.M., Potharst, R.
__Abstract__ Ordinal data sets often contain a certain amount of non-monotone noise. This paper proposes three algorithms for removing these non-monotonicities by relabeling the noisy instances. The first one is a naive algorithm. The second one is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::45f88dfd4e4671fc41d5764c7492701e
https://repub.eur.nl/pub/77641/report-EI-2014-29.pdf
https://repub.eur.nl/pub/77641/report-EI-2014-29.pdf
The area under Receiver Operating Characteristic (ROC) curve, also known as the AUC-index, is commonly used for ranking the performance of data mining models. The AUC has many merits, such as objectivity and ease of interpretation. However, since it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::77bb2d22115f9c6b51a78e003a09f7cb
https://repub.eur.nl/pub/19678/ERS-2010-024-LIS.pdf
https://repub.eur.nl/pub/19678/ERS-2010-024-LIS.pdf
Publikováno v:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), 11-23
STARTPAGE=11;ENDPAGE=23;TITLE=Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009)
STARTPAGE=11;ENDPAGE=23;TITLE=Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::80415edf7e9e277d24b8342bf49e8e5b
https://research.tilburguniversity.edu/en/publications/f62fd411-4680-4f2c-a95a-4d743ffe8e88
https://research.tilburguniversity.edu/en/publications/f62fd411-4680-4f2c-a95a-4d743ffe8e88
Hedonic pricing models attempt to model a relationship between object attributes and the object's price. Traditional hedonic pricing models are often parametric models that suffer from misspecification. In this paper we create these models by means o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::b0f9a62ae1e88a51a384fdf1e8b970f3
https://repub.eur.nl/pub/7145/ei2005-50.pdf
https://repub.eur.nl/pub/7145/ei2005-50.pdf
Autor:
Potharst, R., van Wezel, M.C.
The monotonicity constraint is a common side condition imposed on modeling problems as diverse as hedonic pricing, personnel selection and credit rating. Experience tells us that it is not trivial to generate artificial data for supervised learning p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::6f91b854847f9dd59be9b109b8d47375
https://repub.eur.nl/pub/1916/ei200506.pdf
https://repub.eur.nl/pub/1916/ei200506.pdf
The brand choice problem in marketing has recently been addressed with methods from computational intelligence such as neural networks. Another class of methods from computational intelligence, the so-called ensemble methods such as boosting and stac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::89a2d0d4031cf33505eb23a9db8c9f6a
https://repub.eur.nl/pub/1911/ei200505.pdf
https://repub.eur.nl/pub/1911/ei200505.pdf
Direct marketing firms want to transfer their message as efficiently as possible in order to obtain a profitable long-term relationship with individual customers. Much attention has been paid to address selection of existing customers and on identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::484fa69e7aeb64ec0f5ad2650e55a502
https://repub.eur.nl/pub/260/erimrs20021202122545.pdf
https://repub.eur.nl/pub/260/erimrs20021202122545.pdf
Publikováno v:
Neural networks in business: Techniques and applications, 89-110
STARTPAGE=89;ENDPAGE=110;TITLE=Neural networks in business: Techniques and applications
Neural networks in business : techniques and applications, 89-110
STARTPAGE=89;ENDPAGE=110;TITLE=Neural networks in business : techniques and applications
STARTPAGE=89;ENDPAGE=110;TITLE=Neural networks in business: Techniques and applications
Neural networks in business : techniques and applications, 89-110
STARTPAGE=89;ENDPAGE=110;TITLE=Neural networks in business : techniques and applications
no abstract.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7e3d6c37d3e141ff311ef177afa23968
https://pure.eur.nl/en/publications/46ecebe5-28ab-4f92-9dc8-4f3bff24d482
https://pure.eur.nl/en/publications/46ecebe5-28ab-4f92-9dc8-4f3bff24d482
This paper proposes a new algorithm for target selection. This algorithm collects all frequent patterns (equivalent to frequent item sets) in a training set. These patterns are stored e?ciently using a compact data structure called a trie. For each p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::d1e037adebfd71309a1dd5123fdb5ec1
https://repub.eur.nl/pub/117/erimrs20011018134550.pdf
https://repub.eur.nl/pub/117/erimrs20011018134550.pdf
Partly due to a growing interest in direct marketing, it has become an important application field for data mining. Many techniques have been applied to select the targets in commercial applications, such as statistical regression, regression trees,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::0a43eec19c6cf94703ce9061420adec1
https://repub.eur.nl/pub/83/erimrs20010329140337.pdf
https://repub.eur.nl/pub/83/erimrs20010329140337.pdf