带有联合查询的探索性分析的Any-k算法。

Xiaofeng Yang, Mirek Riedewald, Rundong Li, Wolfgang Gatterbauer
{"title":"带有联合查询的探索性分析的Any-k算法。","authors":"Xiaofeng Yang,&nbsp;Mirek Riedewald,&nbsp;Rundong Li,&nbsp;Wolfgang Gatterbauer","doi":"10.1145/3214708.3214711","DOIUrl":null,"url":null,"abstract":"<p><p>We recently proposed the notion of <i>any-k queries</i>, together with the KARPET algorithm, for tree-pattern search in labeled graphs. Any-<i>k</i> extends top-<i>k</i> by not requiring a pre-specified value of <i>k</i>. Instead, an any-<i>k</i> algorithm returns as many of the top-ranked results as possible, for a given time budget. Given additional time, it produces the next-highest ranked results quickly as well. It can be stopped anytime, but may have to continue until all results are returned. In the latter case, any-k takes times similar to an algorithm that first produces all results and then sorts them. We summarize KARPET and argue that it can be extended to support any-<i>k</i> exploratory search for arbitrary conjunctive queries.</p>","PeriodicalId":93360,"journal":{"name":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","volume":"2018 ","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3214708.3214711","citationCount":"7","resultStr":"{\"title\":\"Any-k Algorithms for Exploratory Analysis with Conjunctive Queries.\",\"authors\":\"Xiaofeng Yang,&nbsp;Mirek Riedewald,&nbsp;Rundong Li,&nbsp;Wolfgang Gatterbauer\",\"doi\":\"10.1145/3214708.3214711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We recently proposed the notion of <i>any-k queries</i>, together with the KARPET algorithm, for tree-pattern search in labeled graphs. Any-<i>k</i> extends top-<i>k</i> by not requiring a pre-specified value of <i>k</i>. Instead, an any-<i>k</i> algorithm returns as many of the top-ranked results as possible, for a given time budget. Given additional time, it produces the next-highest ranked results quickly as well. It can be stopped anytime, but may have to continue until all results are returned. In the latter case, any-k takes times similar to an algorithm that first produces all results and then sorts them. We summarize KARPET and argue that it can be extended to support any-<i>k</i> exploratory search for arbitrary conjunctive queries.</p>\",\"PeriodicalId\":93360,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"volume\":\"2018 \",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/3214708.3214711\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3214708.3214711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3214708.3214711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

我们最近提出了任意k查询的概念,以及KARPET算法,用于标记图中的树模式搜索。Any-k通过不需要预先指定的k值来扩展top-k。相反,对于给定的时间预算,Any-k算法返回尽可能多的排名靠前的结果。如果有额外的时间,它也会很快产生排名第二的结果。它可以随时停止,但可能必须继续,直到返回所有结果。在后一种情况下,any-k所花费的时间类似于首先生成所有结果然后对它们进行排序的算法。我们总结了KARPET,并认为它可以扩展到支持任意连接查询的任意k探索性搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Any-k Algorithms for Exploratory Analysis with Conjunctive Queries.

We recently proposed the notion of any-k queries, together with the KARPET algorithm, for tree-pattern search in labeled graphs. Any-k extends top-k by not requiring a pre-specified value of k. Instead, an any-k algorithm returns as many of the top-ranked results as possible, for a given time budget. Given additional time, it produces the next-highest ranked results quickly as well. It can be stopped anytime, but may have to continue until all results are returned. In the latter case, any-k takes times similar to an algorithm that first produces all results and then sorts them. We summarize KARPET and argue that it can be extended to support any-k exploratory search for arbitrary conjunctive queries.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring Pros and Cons of Ranked Entities with COMPETE Strategies for Detection of Correlated Data Streams Exploring Genomic Datasets: from Batch to Interactive and Back Discovery and Creation of Rich Entities for Knowledge Bases Recommendations for Explorations based on Graphs
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1