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Authors: Takuya Yoshino ; Kohei Muraka and Kouichi Hirata

Affiliation: Kyushu Institute of Technology, Kawazu 680-4, Iizuka 820-8502 and Japan

ISBN: 978-989-758-330-8

Keyword(s): LCA Histogram Distance, Rooted Labeled Caterpillars, Path Histogram Distance, Complete Subtree Histogram Distance.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: An LCA histogram distance is an L1-distance between histograms consisting of triples of two nodes and their least common ancestor (LCA) in two trees. In this paper, we show that the LCA histogram distance for caterpillars is always a metric, whereas that for trees is not. Then, we give experimental results for computing the LCA histogram distance by comparing with the path histogram distance and the complete subtree histogram distance for caterpillars.

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Paper citation in several formats:
Yoshino, T.; Muraka, K. and Hirata, K. (2018). LCA Histogram Distance for Rooted Labeled Caterpillars.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-330-8, pages 307-314. DOI: 10.5220/0006951603070314

@conference{kdir18,
author={Takuya Yoshino. and Kohei Muraka. and Kouichi Hirata.},
title={LCA Histogram Distance for Rooted Labeled Caterpillars},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2018},
pages={307-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006951603070314},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - LCA Histogram Distance for Rooted Labeled Caterpillars
SN - 978-989-758-330-8
AU - Yoshino, T.
AU - Muraka, K.
AU - Hirata, K.
PY - 2018
SP - 307
EP - 314
DO - 10.5220/0006951603070314

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