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
fDate :
Nov. 30 2010-Dec. 2 2010
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;
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
