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1-5 of 5
Keywords: Data mining
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Journal Articles
Carlos Renato Bueno, Juliano Endrigo Sordan, Pedro Carlos Oprime, Damaris Chieregato Vicentin, Giovanni Cláudio Pinto Condé
Benchmarking: An International Journal (2025) 32 (10): 3661–3688.
Published: 22 October 2024
... be contacted at: damaris_sv@hotmail.com 02 06 2023 22 07 2024 21 09 2024 23 09 2024 25 09 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Industry 4.0 Big data Data mining Predictive models Continuous validation...
Journal Articles
Benchmarking: An International Journal (2024) 31 (8): 2743–2766.
Published: 18 August 2023
... as an exciting topic in data mining (Zhang et al., 2015). Organizations today produce and consume this unlabeled, unorganized and non-sequential data in copious amounts and on regular bases, and therefore, through our review, we have studied papers that categorically talk about DL techniques...
Journal Articles
Benchmarking: An International Journal (2022) 29 (2): 456–495.
Published: 01 June 2021
... the behavioral pattern of customers in the banking industry by proposing a hybrid data mining approach with rule extraction and service operation benchmarking. Design/methodology/approach The authors analyze customer data to identify the best customers using a modified recency, frequency and monetary (RFM...
Journal Articles
Benchmarking: An International Journal (2018) 25 (1): 47–75.
Published: 05 February 2018
...Loukas K. Tsironis Purpose The purpose of this paper is to propose a way of implementing data mining (DM) techniques and algorithms to apply quality improvement (QI) approaches in order to resolve quality issues (Rokach and Maimon, 2006; Köksal et al., 2011; Kahraman and Yanik, 2016...
Journal Articles
Benchmarking: An International Journal (2014) 21 (2): 300–311.
Published: 01 April 2014
...Belle Selene Xia; Peng Gong Purpose – The purpose of this paper is to explore the role of business intelligence (BI) in a consulting company. The authors propose to analyze quality through data analysis and efficiency under different business contexts. The best processes and tools in data mining...
