Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning-Reference-Cited by-同舟云学术

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Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning

Published:2021 Issue: Volume: Page:244-260
ISSN:0302-9743
Container-title:Big Data Analytics
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Author:

Kaushik Minakshi^ORCID,Sharma Rahul^ORCID,Peious Sijo Arakkal^ORCID,Draheim Dirk^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93620-4_18

Reference24 articles.

1. Abachi, H.M., Hosseini, S., Maskouni, M.A., Kangavari, M., Cheung, N.M.: Statistical discretization of continuous attributes using Kolmogorov-Smirnov test. In: Wang, J., Cong, G., Chen, J., Qi, J. (eds.) Databases Theory and Applications, pp. 309–315. Springer International Publishing, Cham (2018)

2. Bergerhoff, L., Weickert, J., Dar, Y.: Algorithms for piecewise constant signal approximations. In: 27th European Signal Processing Conference (EUSIPCO), pp. 1–5. IEEE (2019)

3. Lecture Notes in Computer Science;J Catlett,1991

4. Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: Machine learning proceedings 1995, pp. 194–202. Elsevier (1995)

5. Draheim, D.: Generalized Jeffrey Conditionalization: A Frequentist Semantics of Partial Conditionalization. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69868-7

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