1. Agrawal, R., & Bayardo, R.J. Jr (1999). Mining the most interesting rules. In Proceedings of the 1999 ACM SIGKDD international conference on knowledge discovery and data mining - SIGKDD ’99 (pp. 145–154).
2. Allen, C.R., Edwards, W., Hall, W.J., Knopoff, L., Raleigh, C.B., Savit, C.H., Toksoz, M.N., Turner, R.H. (1976). Predicting earthquakes: a scientific and technical evaluation—with implications for society. Panel on Earthquake Prediction of the Committee on Seismology, Assembly of Mathematical and Physical Sciences, National Research Council, US National Academy of Sciences. Washington.
3. Alvan, H.V., & Azad, F.H (2011a). Satellite remote sensing in earthquake prediction. A review. doi: 10.1109/NatPC.2011.6136371 .
4. Alvan, H.V., & Azad, F.H. (2011b). Satellite remote sensing in earthquake prediction. A review, National Postgraduate Conference (NPC), Publication Year (pp. 1–5).
5. Aminzadeh, F., Katz, S., Aki, K (1994). Adaptive neural nets for generation of artificial earthquake precursors. IEEE transactions on geoscience and remote sensing (Vol. 32, no. 6).