Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain-Reference-Cited by-同舟云学术

Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain

Published:2021 Issue: Volume: Page:55-71
ISSN:1865-1348
Container-title:Research Challenges in Information Science
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Author:

Plotnikova Veronika,Dumas Marlon,Milani Fredrik

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-75018-3_4

Reference13 articles.

1. Forbes Homepage (2017). https://www.forbes.com/sites/louiscolumbus/2017/12/24/53-of-companies-are-adopting-big-data-analytics. Accessed 30 Jan 2021

2. Niaksu, O.: CRISP data mining methodology extension for medical domain. Baltic J. Mod. Comput. 3(2), 92 (2015)

3. Solarte, J.: A proposed data mining methodology and its application to industrial engineering. Ph.D. thesis, University of Tennessee (2002)

4. Lecture Notes in Computer Science;Ó Marbán,2007

5. Lecture Notes in Business Information Processing;V Plotnikova,2019

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