Date of Award
2011
Degree Type
Thesis
Degree Name
Master of Science
Program
Computer Science
Supervisor
Dr. Lucian Ilie
Second Advisor
Dr. Kaizhong Zhang
Abstract
An ordered labelled tree is a tree where the left-to-right order among siblings is significant. Ordered labelled forests are sequences of ordered labelled trees. Given two ordered labelled forests F and G. the local forest similarity is to find two sub forests F' and G' of F and G respectively such that they are the most similar over all possible F' and G'.
In this thesis, we present efficient algorithms for the local forest similarity problem for two types of sub-forests: sibling subforests and closed subforests. Our algorithms can be used to locate the structural regions in RNA secondary structures since RNA molecules’ secondary structures could be represented as ordered labelled forests.
Recommended Citation
Liang, Zhewei, "Efficient Algorithms for Local Forest Similarity" (2011). Digitized Theses. 3637.
https://ir.lib.uwo.ca/digitizedtheses/3637