Spam collaborative filtering in Enron e-mail network

被引:0
|
作者
Yang, Zhen [1 ]
Lai, Ying-Xu [1 ]
Duan, Li-Juan [1 ]
Li, Yu-Jian [1 ]
Xu, Xin [1 ]
机构
[1] College of Computer Sciences, Beijing University of Technology, Beijing 100124, China
来源
关键词
D O I
10.3724/SP.J.1004.2012.00399
中图分类号
学科分类号
摘要
引用
收藏
页码:399 / 411
相关论文
共 50 条
  • [41] A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering
    Faris, Hossam
    Aljarah, Ibrahim
    Al-Shboul, Bashar
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2016, PT I, 2016, 9875 : 498 - 508
  • [42] Spam Classification Based on E-Mail Path Analysis
    Palla, Srikanth
    Dantu, Ram
    Cangussu, Joao W.
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY, 2008, 2 (02) : 46 - 69
  • [43] Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification
    Perez-Diaz, Noemi
    Ruano-Ordas, David
    Mendez, Jose R.
    Galvez, Juan F.
    Fdez-Riverola, Florentino
    APPLIED SOFT COMPUTING, 2012, 12 (11) : 3671 - 3682
  • [44] Time-efficient spam e-mail filtering using n-gram models
    Ciltik, Ali
    Gungor, Tunga
    PATTERN RECOGNITION LETTERS, 2008, 29 (01) : 19 - 33
  • [45] Rule-Based Spam E-mail Annotation
    Fiumara, Giacomo
    Marchi, Massimo
    Pagano, Rosamaria
    Provetti, Alessandro
    WEB REASONING AND RULE SYSTEMS, 2010, 6333 : 231 - 234
  • [46] Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering
    Hnini, Ghizlane
    Riffi, Jamal
    Mahraz, Mohamed Adnane
    Yahyaouy, Ali
    Tairi, Hamid
    BIG DATA AND COGNITIVE COMPUTING, 2023, 7 (02)
  • [47] E-mail Spam Filtering using Genetic Algorithm based on Probabilistic Weights and Words Count
    Bhattacharya, Pronaya
    Singh, Arunendra
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2020, 12 (01): : 40 - 49
  • [48] Tips of E-mail Marketing avoiding Spam Filters
    Zhou, Ganmiao
    ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING, PTS 1-3, 2011, 271-273 : 1082 - 1085
  • [49] The UCE (spam) war and its impact on e-mail
    Notess, GR
    ONLINE, 2003, 27 (01): : 55 - 57
  • [50] Spam E-Mail Classification Based on the IFWB Algorithm
    Jou, Chichang
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2013), PT I,, 2013, 7802 : 314 - 324