Early Prediction of Complex Business Processes Using Association Rule Based Mining-Reference-Cited by-同舟云学术

Early Prediction of Complex Business Processes Using Association Rule Based Mining

Published:2022 Issue: Volume: Page:183-194
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Khan Naveed^ORCID,Tariq Zeeshan^ORCID,Ali Aftab,McClean Sally,Taylor Paul,Nauck Detlef

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07005-1_17

Reference12 articles.

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3. Alwidian, J., Hammo, B., Obeid, N.: Enhanced CBA algorithm based on apriori optimization and statistical ranking measure. In: Proceeding of 28th International Business Information Management Association (IBIMA) Conference on Vision, vol. 2020, pp. 4291–4306 (2016)

4. Eichinger, F., Nauck, D.D., Klawonn, F.: Sequence mining for customer behaviour predictions in telecommunications. In: Proceedings of the Workshop on Practical Data Mining at ECML/PKDD, pp. 3–10 (2006)

5. Filip, J., Kliegr, T.: Classification based on associations (CBA)-a performance analysis. Technical report, EasyChair (2018)

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