(Enter summary)
Abstract: Mining frequent subtrees from databases of labeled trees is a new research field that has
many practical applications in areas such as computer networks, Web mining, bioinformatics, XML
document mining, etc. These applications share a requirement for the more expressive power of labeled
trees to capture the complex relations among data entities. Although frequent subtree mining is
a more difficult task than frequent itemset mining, most existing frequent subtree mining algorithms
borrow... (Update)
Cited by: More
Finding Trees From Unordered 0--1 Data - Hannes Heikinheimo Heikki
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Active bibliography (related documents): More All
6.7: Frequent Subtree Mining - An Overview - Chi, Nijssen, Muntz, Kok (2005)
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3.1: Mining Closed and Maximal Frequent Subtrees from Databases .. - Chi, Xia, Yang, Muntz
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1.2: Efficiently Mining Frequent Embedded Unordered Trees - Zaki (2005)
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BibTeX entry: (Update)
Chi, Y., Muntz, R.R., Nijssen, S., Kok, J.N.: Frequent subtree mining -- an overview. Fundamenta Informaticae 66(1-2) (2005) 161--198 http://citeseer.ist.psu.edu/chi01frequent.html More
@misc{ chi05frequent,
author = "Y. Chi and R. Muntz and S. Nijssen and J. Kok",
title = "Frequent subtree mining -- an overview",
text = "Chi, Y., Muntz, R.R., Nijssen, S., Kok, J.N.: Frequent subtree mining --
an overview. Fundamenta Informaticae 66(1-2) (2005) 161--198",
year = "2005",
url = "citeseer.ist.psu.edu/chi01frequent.html" }
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