Author:
Valmarska Anita,Miljkovic Dragana,Lavrač Nada,Robnik-Šikonja Marko
Funder
PD˙manager project, EU Framework Program for Research and Innovation Horizon 2020
HBP SGA1, EU Framework Program for Research and Innovation Horizon 2020
Javna Agencija za Raziskovalno Dejavnost RS
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference72 articles.
1. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In ACM sigmod record (Vol. 22, pp. 207–216). ACM.
2. Appice, A. (2017). Towards mining the organizational structure of a dynamic event scenario. Journal of Intelligent Information Systems, 1–29.
3. Appice, A., & Malerba, D. (2016). A co-training strategy for multiple view clustering in process mining. IEEE Trans Services Computing, 9(6), 832–845.
4. Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J.M., & Perona, I. (2013). An extensive comparative study of cluster validity indices. Pattern Recognition, 46(1), 243–256.
5. Bence, J.R. (1995). Analysis of short time series: correcting for autocorrelation. Ecology, 76(2), 628–639.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献