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Rough Set Approach to Spam Filter Learning.

, and . RSEISP, volume 4585 of Lecture Notes in Computer Science, page 350-359. Springer, (2007)

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Data-Based Acqusition and Incremental Modification of Classification Rules., and . Comput. Intell., (1995)A Method for Computing All Maximally General Rules in Attribute-Value Systems., and . Comput. Intell., (1996)Evaluation of Probabilistic Decision Tables.. RSFDGrC, volume 2639 of Lecture Notes in Computer Science, page 189-196. Springer, (2003)Comparison of Rough-Set and Statistical Methods in Inductive Learning., , and . Int. J. Man Mach. Stud., 25 (1): 53-72 (1986)Discovery Through Rough Set Theory.. Commun. ACM, 42 (11): 54-57 (1999)On Modeling of Information Retrieval Concepts in Vector Space., , , and . ACM Trans. Database Syst., 12 (2): 299-321 (1987)Data Mining and Rough Set Theory., and . Commun. ACM, 43 (4): 108-109 (2000)Generalized Vector Space Model in Information Retrieval., , and . SIGIR, page 18-25. ACM, (1985)Approximation Region-Based Decision Tables.. Rough Sets and Current Trends in Computing, volume 1424 of Lecture Notes in Computer Science, page 178-185. Springer, (1998)Rough Sets: Trends, Challenges, and Prospects.. Rough Sets and Current Trends in Computing, volume 2005 of Lecture Notes in Computer Science, page 1-7. Springer, (2000)