Relaxing feature selection in spam filtering by using case-based reasoning systems

被引：0

作者：

Mendez, J. R. ^{[1
]}

Fdez-Riverola, F. ^{[1
]}

Glez-Pena, D. ^{[1
]}

Diaz, F. ^{[2
]}

Corchado, J. M. ^{[3
]}

机构：

[1] Univ Vigo, Dept Informat, Escuela Super Ingn Informat, Edificio Politecn,Campus Univ As Lagoas S-N, Orense 32004, Spain

[2] Univ Valladolid, Escuela Univ Informat, Plaza Santa Eulalia, E-40005 Valladolid, Spain

[3] Univ Salamanca, Dept Comp & Automat, E-37008 Salamanca, Spain

来源：

PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2007年 / 4874卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a comparison between two alternative strategies for addressing feature selection on a well known case-based reasoning spam filtering system called SPAMHUNTING. We present the usage of the k more predictive features and a percentage-based strategy for the exploitation of our amount of information measure. Finally, we confirm the idea that the percentage feature selection method is more adequate for spam filtering domain.

引用

页码：53 / +

页数：3

共 17 条

[1]

ANDROUTSOPOULOS I, 2004, 20042 NCSR

[2]

[Anonymous], MODERN INFORM RETRIV

[3]

CUNNINGHAM P, 2003, LNCS, V2689

[4]

Delany SJ, 2004, LECT NOTES COMPUT SC, V3155, P128

[5]

DELANY SJ, 2004, AICS 2004, P9

[6]

Egan JP., 1975, SIGNAL DETECTION THE

[7] Applying lazy learning algorithms to tackle concept drift in spam filtering [J].

Fdez-Riverola, F. ;

Iglesias, E. L. ;

Diaz, F. ;

Mendez, J. R. ;

Corchado, J. M. .

EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33 (01) :36-48

[8]

FDEZRIVEROLA F, 2007, IN PRESS SPAMHUNTING

[9] METAANALYSIS OF SCREENING AND DIAGNOSTIC-TESTS [J].

HASSELBLAD, V ;

HEDGES, LV .

PSYCHOLOGICAL BULLETIN, 1995, 117 (01) :167-178

[10]

Kohavi R., 1995, INT JOINT C ARTIFICI, DOI DOI 10.5555/1643031.1643047

← 1 2 →