International Journal of Computer Science and Informatics
Article Title
Abstract
The latest advancements in science and technology have observed large quantity of complicated structures and schema less data such as proteins, circuits, images, Web, and XML documents which can be modeled into various types of which one of the most dominant now a days are graphs. This has caused Graph Mining, one of the budding areas of research happening throughout. In this paper, we investigate the various algorithms for Graph Indexing which makes use of Frequent Sub graph as a key term for indexing, of which one the most dominant is FG-index algorithm. This algorithm is tested with AIDS dataset and an improved algorithm is proposed for effective indexing.
Recommended Citation
MONICKARAJ, A. PANKAJ MOSES
(2014)
"VFG – INDEX: A NOVEL GRAPH INDEXING METHOD,"
International Journal of Computer Science and Informatics: Vol. 4:
Iss.
2, Article 9.
DOI: 10.47893/IJCSI.2014.1185
Available at:
https://www.interscience.in/ijcsi/vol4/iss2/9
DOI
10.47893/IJCSI.2014.1185
Included in
Computer Engineering Commons, Information Security Commons, Systems and Communications Commons
