DocumentCode
635817
Title
Compressing the representation of a causal graph
Author
Puente, C. ; Olivas, Jose A. ; Garrido, E. ; Seisdedos, R.
Author_Institution
Adv. Tech. Fac. of Eng. ICAI, Pontifical Comillas Univ., Madrid, Spain
fYear
2013
fDate
24-28 June 2013
Firstpage
122
Lastpage
127
Abstract
The aim of this paper is to introduce procedure capable of compressing the representation of causal graphs, removing the redundant information introduced. In previous works we have presented several algorithms to extract causal information from text documents by means of a semi-automatic process. As result we obtained a causal graph connecting concepts related to a given topic.
Keywords
data compression; graph theory; text analysis; causal graph representation compression; causal information; graph connecting concepts; redundant information; semiautomatic process; text documents; Cancer; Context; Data mining; Databases; Educational institutions; Lungs; Redundancy; Causality; automatic summarization; causal graphs; causal representation; redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608386
Filename
6608386
Link To Document