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  • Search: subject:"mining methods and algorithms"
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Year of publication
Subject
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Algorithm 1 Algorithmus 1 Bergbau 1 Classification 1 Cost-sensitive learning 1 Data Mining 1 Data mining 1 Klassifikation 1 Mining 1 Mining methods and algorithms 1 Theorie 1 Theory 1 customer relationship management (CRM) 1 data mining methods and algorithms 1 decision trees 1 feature evaluation and selection 1 mining methods and algorithms 1 multiclass classifier design and evaluation 1
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Online availability
All
Free 2
Type of publication
All
Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 2 Undetermined 1
Author
All
CHEN, Yen-Liang 1 Dogan, Neslihan 1 POEL, D. VAN DEN 1 PRINZIE, A. 1 TANG, Kwei 1 Tanrikulu, Zuhal 1 WU, Chia-Chi 1
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Institution
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Faculteit Economie en Bedrijfskunde, Universiteit Gent 1 Krannert School of Management, Purdue University 1
Published in...
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Information technology and management 1 Purdue University Economics Working Papers 1 Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Cover Image
Cost-Sensitive Decision Tree with Multiple Resource Constraints
WU, Chia-Chi; CHEN, Yen-Liang; TANG, Kwei - Krannert School of Management, Purdue University - 2010
Resource constraints are commonly found in classification tasks. For example, there could be a budget limit on implementation and a deadline for finishing the classification task. Applying the top-down approach for tree induction in this situation may have significant drawbacks. In particular,...
Persistent link: https://www.econbiz.de/10009294659
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Random Forrests for Multiclass classification: Random Multinomial Logit
PRINZIE, A.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2007
Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain. Unfortunately, to date, it is unable to handle...
Persistent link: https://www.econbiz.de/10004982843
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Cover Image
A comparative analysis of classification algorithms in data mining for accuracy, speed and robustness
Dogan, Neslihan; Tanrikulu, Zuhal - In: Information technology and management 14 (2013) 2, pp. 105-124
Persistent link: https://www.econbiz.de/10009760514
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