• DocumentCode
    480270
  • Title

    A Mining Algorithm For Email´s Relationships Based on Neural Networks

  • Author

    Li, Hongjun ; Zhang, Jiangang ; Wang, Haibo ; Huang, Shaoming

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1122
  • Lastpage
    1125
  • Abstract
    The analysis of the vast storehouse of email content accumulated or produced by individual users has received relatively little attention other than for specific tasks such as relationship. Current email analysis in standard client applications consists of keyword based matching techniques for relationship of email files. We have implemented a tool, called the email mining set (EMS) for analyzing email archives which includes a graphical display to explore relationships between users and groups of email users. Our design goal is to embed the technology into standard email clients, such as foxmail and Outlook, revealing far more information about a userpsilas relationship is otherwise now possible.
  • Keywords
    client-server systems; computer crime; data mining; data warehouses; electronic mail; neural nets; pattern matching; records management; client-server system; computer crime forensic technology; email archive analysis; email file relationship; email mining set algorithm; graphical display; keyword-based matching technique; neural network; storehouse; Association rules; Computer crime; Computer science; Data mining; Distributed databases; Forensics; Information analysis; Neural networks; Relational databases; Transaction databases; data mining; email; neural networks; relationship;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1537
  • Filename
    4722816