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  • Search: subject:"Data-driven environment"
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Business analytics 1 Contingency theory 1 Data-driven environment 1 Industrial Engineering 1 Information processing view 1 MANOVA 1 Models and algorithms for effective decision-making in a data-driven environment are discussed. To enhance the quality of the extracted knowledge and decision-making 1 Organizational performance 1 Sustainability 1 a subset of rules is selected from the extracted knowledge to meet the established decision-making criteria. The parameter values represented by the conditions of this set of rules are called a decision signature. A model and algorithms for the selection of the desired parameters (decision signatures) will be developed. The parameters of this model are updated using a framework provided by the learning classifier systems 1 and the parameters optimizing process performance are recommended. The applications discussed in this paper differ from most data mining tasks 1 in a typical data mining application the equipment fault is recognized based on the failure symptoms. In this paper 1 the data sets are transformed 1 the impact of the decisions on the modeled process is simulated 1 the knowledge is extracted with multiple algorithms 1 where the extracted knowledge is used to assign decision values to new objects that have not been included in the training data. For example 1
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Free 1 Undetermined 1
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Article 1 Other 1
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research-article 1
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English 1 Undetermined 1
Author
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Cao, Guangming 1 Duan, Yanqing 1 Kusiak, Andrew 1
Published in...
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Journal of Enterprise Information Management 1
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BASE 1 Other ZBW resources 1
Showing 1 - 2 of 2
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How do top- and bottom-performing companies differ in using business analytics?
Cao, Guangming; Duan, Yanqing - In: Journal of Enterprise Information Management 30 (2017) 6, pp. 874-892
. Findings Top- and bottom-performing companies differ significantly in their use of BA, data-driven environment, and level of …
Persistent link: https://www.econbiz.de/10014860122
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Cover Image
Data mining and decision making
Kusiak, Andrew - 2002
Models and algorithms for effective decision-making in a data-driven environment are discussed. To enhance the quality …
Persistent link: https://www.econbiz.de/10009466041
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