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  • Search: subject:"dissimilarity measures"
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Year of publication
Subject
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dissimilarity measures 4 attribute weights 2 boosting 2 evaluation 2 poisson regression 2 recommender systems 2 PCA (principal component analysis) 1 clustering 1 hierarchical clustering 1 pattern recognition 1 quality of life indicators 1 structural levels 1 supervised classification 1 system structure 1
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Online availability
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Free 4
Type of publication
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Article 2 Book / Working Paper 2
Language
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Undetermined 3 Romanian 1
Author
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COCIANU, Catalina 1 Groenen, P.J.F. 1 Groenen, Patrick 1 Kagie, M. 1 Kagie, Martijn 1 Stefanescu, Stefan 1 Wezel, M.C. van 1 van Wezel, van Wezel, M.C. 1
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Institution
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Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 1
Published in...
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ERIM Report Series Research in Management 1 Informatica Economica 1 Journal for Economic Forecasting 1 Research Paper / Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1
Source
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RePEc 4
Showing 1 - 4 of 4
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Discovering the System Structure with Applications in Economic and Social Sciences
Stefanescu, Stefan - In: Journal for Economic Forecasting (2013) 2, pp. 129-140
classifications of models, based on different dissimilarity measures, were taken into consideration. Also a practical example, which …
Persistent link: https://www.econbiz.de/10010678160
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Determination of Attribute Weights for Recommender Systems Based on Product Popularity
Kagie, M.; Wezel, M.C. van; Groenen, P.J.F. - Erasmus Research Institute of Management (ERIM), ERIM … - 2009
In content- and knowledge-based recommender systems often a measure of (dis)similarity between products is used. Frequently, this measure is based on the attributes of the products. However, which attributes are important for the users of the system remains an important question to answer. In...
Persistent link: https://www.econbiz.de/10004970839
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Determination of Attribute Weights for Recommender Systems Based on Product Popularity
Kagie, Martijn; Groenen, Patrick; van Wezel, van Wezel, M.C. - Erasmus Research Institute of Management (ERIM), … - 2009
In content- and knowledge-based recommender systems often a measure of (dis)similarity between products is used. Frequently, this measure is based on the attributes of the products. However, which attributes are important for the users of the system remains an important question to answer. In...
Persistent link: https://www.econbiz.de/10010837641
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Supervised and Unsupervised Classification for Pattern Recognition Purposes
COCIANU, Catalina - In: Informatica Economica X (2006) 4, pp. 5-13
A cluster analysis task has to identify the grouping trends of data, to decide on the sound clusters as well as to validate somehow the resulted structure. The identification of the grouping tendency existing in a data collection assumes the selection of a framework stated in terms of a...
Persistent link: https://www.econbiz.de/10009416340
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