SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees

Autor: Cédric Mesnage, Matt McVicar, Jefrey Lijffijt, Tijl De Bie, Eirini Spyropoulou, Benjamin Sach
Rok vydání: 2016
Předmět:
Zdroj: McVicar, M, Sach, B, Mesnage, C, Lijffijt, J, Spyropoulou, E & De Bie, T 2016, ' SuMoTED : An intuitive edit distance between rooted unordered uniquely-labelled trees ', Pattern Recognition Letters, vol. 79, pp. 52-59 . https://doi.org/10.1016/j.patrec.2016.04.012
PATTERN RECOGNITION LETTERS
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2016.04.012
Popis: Defining and computing distances between tree structures is a classical area of study in theoretical computer science, with practical applications in the areas of computational biology, information retrieval, text analysis, and many others. In this paper, we focus on rooted, unordered, uniquely-labelled trees such as taxonomies and other hierarchies. For trees as these, we introduce the intuitive concept of a ‘local move’ operation as an atomic edit of a tree. We then introduce SuMoTED, a new edit distance measure between such trees, defined as the minimal number of local moves required to convert one tree into another. We show how SuMoTED can be computed using a scalable algorithm with quadratic time complexity. Finally, we demonstrate its use on a collection of music genre taxonomies.
Databáze: OpenAIRE