DocumentCode
539322
Title
Mining email transaction logs to locate significant messages and users
Author
Esichaikul, Vatcharaporn ; Guha, Sumanta ; Niyamosatha, Thanittha
Author_Institution
Comput. Sci. & Inf. Manage. Program, Asian Inst. of Technol., Pathumthani, Thailand
fYear
2010
fDate
Nov. 30 2010-Dec. 2 2010
Firstpage
368
Lastpage
371
Abstract
A simple and intuitive model to mine an email transactions log for significant messages and users is presented. No use is made of NLP or semantic analysis. The model is based only on scoring messages and users from a graph-theoretic analysis of the communication pattern represented in the transaction log. Practical experiments indicate the potential of the model.
Keywords
data mining; electronic mail; graph theory; email transaction log mining; graph-theoretic analysis; message scoring; Analytical models; Communities; Data mining; Databases; Electronic mail; Organizations; Postal services; Data mining; email; log mining; scoring model; significant message; significant user; transactions digraph; transactions log;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Management and Service (IMS), 2010 6th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-8599-4
Electronic_ISBN
978-89-88678-32-9
Type
conf
Filename
5713476
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