Publisher
Springer Science and Business Media LLC
Reference67 articles.
1. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD international conference on management of data (pp. 207–216). 1993 ACM SIGMOD international conference, Washington, D.C., United States. ACM Press. https://doi.org/10.1145/170035.170072.
2. Agrawal, R., & Srikant, R. (1995). Mining sequential patterns. In Proceedings of the eleventh international conference on data engineering (pp. 3–14). Presented at the eleventh international conference on data engineering, Taipei, Taiwan. IEEE Computer Society Press. https://doi.org/10.1109/ICDE.1995.380415.
3. Agterberg, F. P., & Bonham-Carter, G. F. (1999). Logistic regression and weights of evidence modeling in mineral exploration. In Proceedings of the 28th international symposium on applications of computer in the mineral industry (APCOM), Golden, Colorado (pp. 483–490).
4. Amiri, V., Rezaei, M., & Sohrabi, N. (2014). Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat, Iran. Environmental Earth Sciences, 72(9), 3479–3490.
5. Bigdeli, A., Maghsoudi, M., & Ghezelbash, R. (2022). Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran. Journal of Geochemical Exploration, 233, 106923.