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Volume 2017,
Issue 1
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Data mining on technical and customer service data of a Brazilian DISCO to increase customer satisfaction
- Author(s): Luciano Cavalcante Siebert 1 ; Eduardo Kazumi Yamakawa 1 ; Eunelson José Da Silva Jr 1 ; Lucio De Medeiros 1 ; Angela Catapan 2
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View affiliations
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Affiliations:
1:
Lactec Institutes , Curitiba , Brazil ;
2: COPEL , Londrina , Curitiba, Brazil
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Affiliations:
1:
Lactec Institutes , Curitiba , Brazil ;
- Source:
Volume 2017, Issue 1,
October
2017,
p.
2657 – 2660
DOI: 10.1049/oap-cired.2017.1111 , Online ISSN 2515-0855
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Published
01/10/2017
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Inspec keywords: regression analysis; customer services; data mining; customer satisfaction
Other keywords: residential customer satisfaction; data mining techniques; power utilities; customer satisfaction; distribution companies; Brazilian DISCO; regression models
Subjects: Statistics; Customer services; Other topics in statistics; Administration and management
References
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5. Han, J., Kamber, M., Pei, J.: ‘Data mining: concepts and techniques’ (Morgan Kaufman Publishers, Waltham, USA, 2012).
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7. Johnson, R. A., Wichern, D. W.: ‘Applied multivariate statistical analysis’ (Prentice-Hall, New Jersey, USA, 2007).
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1. Stimmel, C. L.: ‘Big data analytics strategies for the smart grid’ (CRC Press, Boca Raton, USA, 2015).
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3. Elliott, J., Serna, C.: ‘Managing customer satisfaction involves more than improving reliability’, Electr. J., 2005, 18, (7), pp. 84–89.
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4. Zaki, M. J., Meira, W.: ‘Data mining and analysis: fundamental concepts and algorithms’ (Cambridge University Press, New York, USA, 2014).
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6)
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2. Mutua, J., Ngui, D., Osiolo, H.: ‘Consumers satisfaction in the energy sector in Kenya’, Energy Policy, 2012, (48), pp. 702–710 (doi: 10.1016/j.enpol.2012.06.004).
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6. Kazerooni, M.: ‘Literature review on the applications of data mining in power systems’. Power and Energy Conf., Illinois, PECI, 2014.
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http://iet.metastore.ingenta.com/content/journals/10.1049/oap-cired.2017.1111
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