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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1537