Effective Knowledge Discovery Using Data Mining Algorithm-Reference-Cited by-同舟云学术

Effective Knowledge Discovery Using Data Mining Algorithm

Published:2020-12-16 Issue: Volume: Page:145-153
ISSN:2367-3370
Container-title:ICT Analysis and Applications
language:
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Author:

Sharma Garima,Tripathi Vikas

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8354-4_15

Reference15 articles.

1. Grzymala-Busse, J. W., Grzymala-Busse, W. J.: Handling missing attribute value. In O. Maimon & L. Rokach (Ed.), Data mining and knowledge discovery handbook (pp. 573–589). Springer.

2. Logan, C., Parás, P., Robbins, M., & Zechmeister, E. J. (2020). Improving data quality in face-to-face survey research. PS: Political Science & Politics, 53(1), 46–50.

3. Cai, L., & Zhu, Y. (2015). The challenges of data quality and data quality assessment in the big data era. Data Science Journal, 14.

4. García, S., Ramírez-Gallego, S., Luengo, J., et al. (2016). Big data preprocessing: Methods and prospects. Big Data Analytics, 1, 9.

5. García, S., Luengo, J., & Herrera, F. (2015). Data preprocessing in data mining. Intelligent Systems Reference Library.

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