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  • Search: subject:"Rule Learning"
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Year of publication
Subject
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data mining 3 Institutional economics 2 aesthetics 2 association rule learning 2 auto insurance 2 evo-devo 2 evodevo 2 evolution 2 institutional economics 2 market inefficiency 2 policyholder lapse 2 rule-learning 2 selection 2 social psychology 2 variation 2 Aesthetics 1 Affiliation resolution 1 Association rule learning 1 Automobile insurance 1 Data Mining 1 Data mining 1 Economic psychology 1 Economic sociology 1 Entity resolution 1 Evolutionary economics 1 Evolutionsökonomik 1 Formal concept analysis 1 History of economic thought 1 Institutionenökonomik 1 Kfz-Versicherung 1 Learning process 1 Lernprozess 1 Neue Institutionenökonomik 1 New institutional economics 1 Social psychology 1 Sozialpsychologie 1 Taxonomy induction 1 Theorie 1 Theory 1 Wirtschaftspsychologie 1
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Online availability
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Free 6
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article 2 Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 6
Author
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Gan, Guojun 2 Jeong, Himchan 2 Schlicht, Ekkehart 2 Backes, Tobias 1 Chou, Dashin 1 Dhar, Vasant 1 Dietze, Stefan 1 Hienert, Daniel 1 Provost, Foster 1 Valdez, Emiliano 1 Valdez, Emiliano A. 1
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Published in...
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International Journal on Digital Libraries 1 Munich Discussion Paper 1 Münchener Wirtschaftswissenschaftliche Beiträge : VWL ; discussion papers 1 Risks 1 Risks : open access journal 1
Source
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EconStor 3 ECONIS (ZBW) 2 BASE 1
Showing 1 - 6 of 6
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Towards hierarchical affiliation resolution: framework, baselines, dataset
Backes, Tobias; Hienert, Daniel; Dietze, Stefan - In: International Journal on Digital Libraries 23 (2022) 3, pp. 267-288
Author affiliations provide key information when attributing academic performance like publication counts. So far, such measures have been aggregated either manually or only to top-level institutions, such as universities. Supervised affiliation resolution requires a large number of annotated...
Persistent link: https://www.econbiz.de/10015175216
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Aestheticism in the theory of custom
Schlicht, Ekkehart - 2021
The nature of learning processes as well as evolutionary considerations suggest that aesthetic judgement is of central importance in the formation of custom. Learning and extrapolation rely on evaluations of non-instrumental features like simplicity, analogy, straightforwardness, and clarity....
Persistent link: https://www.econbiz.de/10012695510
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Cover Image
Aestheticism in the theory of custom
Schlicht, Ekkehart - 2021
The nature of learning processes as well as evolutionary considerations suggest that aesthetic judgement is of central importance in the formation of custom. Learning and extrapolation rely on evaluations of non-instrumental features like simplicity, analogy, straightforwardness, and clarity....
Persistent link: https://www.econbiz.de/10012597793
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Association rules for understanding policyholder lapses
Jeong, Himchan; Gan, Guojun; Valdez, Emiliano A. - In: Risks 6 (2018) 3, pp. 1-18
goal, we employ the method of association rule learning, a data mining technique that has its origins in marketing for …
Persistent link: https://www.econbiz.de/10011996627
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Association rules for understanding policyholder lapses
Jeong, Himchan; Gan, Guojun; Valdez, Emiliano - In: Risks : open access journal 6 (2018) 3, pp. 1-18
goal, we employ the method of association rule learning, a data mining technique that has its origins in marketing for …
Persistent link: https://www.econbiz.de/10011890671
Saved in:
Cover Image
Discover Interesting Patterns for Investment Decision Making with GLOWER- A Genetic Learner Overlaid With Entropy Reduction
Dhar, Vasant; Chou, Dashin; Provost, Foster - 2008
ideas from treeinduction and rule learning. We examine the performance of severalGLOWER variants on two UCI data sets as …
Persistent link: https://www.econbiz.de/10009435041
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