DocumentCode
3229732
Title
Event graph model and its properties: A method of mining trends in text streams
Author
Zhao, Chengli ; Zhang, Xue
Author_Institution
Dept. of Mathematic & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear
2011
fDate
27-29 May 2011
Firstpage
660
Lastpage
662
Abstract
Massive text stream is a very important source of information. There are rich graph structures contained in massive texts, which can be used as an effective method to mine trends embodied in the contents in text streams. This paper formally defines the event graph model based on systems science theory, and discusses its properties. This model aims to extract the potential events and relationships between them from text streams.
Keywords
data mining; graph theory; text analysis; event graph model; graph structures; mining trends; systems science theory; text streams; event; event graph; text stream;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6014175
Filename
6014175
Link To Document