1. Case-based reasoning: Foundational issues, methodological variations, and system approaches;Aamodt;Artificial Intelligence Communication,1994
2. Abi-Haidar, A., & Rocha, L. M. (2008). Adaptive spam detection inspired by a cross-regulation model of immune dynamics: A study of concept drift. Lecture Notes in Computer Science, 5132.
3. Lazy learning;Aha;Artificial Intelligence Review,1997
4. Androutsopoulos, I., Koutsias, J., Chandrinos, K. V., Paliouras, G., & Spyropoulos, C. (2000). An evaluation of naive Bayesian anti-spam filtering. In G. Potamias, V. Moustakis, & M. van Someren, M. (Eds.), Proc of the 11th Eur conf on mach learn.
5. Androutsopoulos, I., Koutsias, J., Chandrinos, K. V., & Spyropoulos, C. D. (2000). An experimental comparison of naïve Bayesian and keyword-based anti-spam filtering with personal e-mail messages. In Proc of the ann int ACM SIGIR conf on res and devel in inform retrieval.