Subtree Testing and Closed Tree Mining Through Natural Representations

J. Balcázar, A. Bifet, A. Lozano
{"title":"Subtree Testing and Closed Tree Mining Through Natural Representations","authors":"J. Balcázar, A. Bifet, A. Lozano","doi":"10.1109/DEXA.2007.73","DOIUrl":null,"url":null,"abstract":"Several classical schemes exist to represent trees as strings over a fixed alphabet; these are useful in many algorithmic and conceptual studies. Our previous work has proposed a representation of unranked trees as strings over a countable alphabet, and has shown how this representation is useful for canonizing unordered trees and for mining closed frequent trees, whether ordered or unordered. Here we propose a similar, simpler alternative and adapt some basic algorithmics to it; then we show empirical evidence of the usefulness of this representation for mining frequent closed unordered trees on real-life data.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"622 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2007.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Several classical schemes exist to represent trees as strings over a fixed alphabet; these are useful in many algorithmic and conceptual studies. Our previous work has proposed a representation of unranked trees as strings over a countable alphabet, and has shown how this representation is useful for canonizing unordered trees and for mining closed frequent trees, whether ordered or unordered. Here we propose a similar, simpler alternative and adapt some basic algorithmics to it; then we show empirical evidence of the usefulness of this representation for mining frequent closed unordered trees on real-life data.
基于自然表示的子树测试和闭树挖掘
存在几种经典方案将树表示为固定字母表上的字符串;这些在许多算法和概念研究中是有用的。我们之前的工作已经提出了将未排序树表示为可计数字母表上的字符串,并展示了这种表示如何用于规范化无序树和挖掘闭合频繁树,无论是有序的还是无序的。在这里,我们提出了一个类似的,更简单的替代方案,并对其进行了一些基本算法的调整;然后,我们展示了这种表示对于挖掘现实数据上频繁闭合无序树的有用性的经验证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信