Data mining based intelligent analysis of threatening e-mail

被引：12

作者：

Appavu, S. ^{[1
]}

Rajaram, R. ^{[1
]}

Muthupandian, M. ^{[1
]}

Athiappan, G. ^{[1
]}

Kashmeera, K. S. ^{[1
]}

机构：

[1] Thiagarajar Coll Engn, Madurai, Tamil Nadu, India

来源：

KNOWLEDGE-BASED SYSTEMS | 2009年 / 22卷 / 05期

关键词：

Data mining; Classification; Threatening e-mail detection;

D O I：

10.1016/j.knosys.2009.02.002

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 proposed a decision tree based classification method to detect e-mails that contain terrorism information. The proposed classification method is an incremental and user-feedback based extension of a decision tree induction algorithm named Ad Infinitum. We show that Ad Infinitum algorithm is a good choice for threatening e-mail detection as it runs fast on large and high dimensional databases, is easy to tune and is highly accurate, outperforming popular algorithms such as Decision Trees, Support Vector Machines and Naive Bayes. In particular, we are interested in detecting fraudulent and possibly criminal activities from such e-mails. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：392 / 393

页数：2