Rough set approach to spam filter learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4585 LNAI, Issue , 2007, Pages 350-359

  Glymin, Mawuena ^a   Ziarko, Wojciech ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA STRUCTURES; DECISION TABLES; HEURISTIC ALGORITHMS; LEARNING SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

GENERALIZED ROUGH APPROXIMATIONS; PRECISION ROUGH SETS; PREDICTIVE DATA MODELING; SPAM FILTER LEARNING;

ROUGH SET THEORY;

EID: 38049003125     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73451-2_37     Document Type: Conference Paper

References (10)

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10. Ziarko, W.: Partition dependencies in hierarchies of probabilistic decision tables. In: Proc. of the RSKT 2006. LNCS (LNAI), vol. 4062, pp. 42-49. Springer, Heidelberg (2006)