Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection

Shihai Zhang, Shu-jun Liu, Dong Wang, J. Ou, Guang-yuan Wang
{"title":"Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection","authors":"Shihai Zhang, Shu-jun Liu, Dong Wang, J. Ou, Guang-yuan Wang","doi":"10.1109/ISDA.2006.179","DOIUrl":null,"url":null,"abstract":"First, evaluation indexes of association rule are provided; meaning of them is analyzed; the Apriori arithmetic about knowledge discovery is introduced and its defects are analyzed. Next, a knowledge discovery method of improved Apriori-based high-rise intelligent form selection is established. Finally, examples of this method are presented. This method provides a new approach to mining knowledge information in engineering cases, guiding structural form selection design and to improving quality, efficiency and intelligence level of structural design","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2006.179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

First, evaluation indexes of association rule are provided; meaning of them is analyzed; the Apriori arithmetic about knowledge discovery is introduced and its defects are analyzed. Next, a knowledge discovery method of improved Apriori-based high-rise intelligent form selection is established. Finally, examples of this method are presented. This method provides a new approach to mining knowledge information in engineering cases, guiding structural form selection design and to improving quality, efficiency and intelligence level of structural design
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
基于改进先验的高层结构智能选型知识发现
首先,给出了关联规则的评价指标;分析了它们的意义;介绍了知识发现的Apriori算法,并分析了其缺陷。其次,建立了一种基于apriori的高层智能选型知识发现方法。最后给出了该方法的算例。该方法为挖掘工程实例中的知识信息,指导结构形式选择设计,提高结构设计的质量、效率和智能化水平提供了新的途径
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints Enhancement Filter for Computer-Aided Detection of Pulmonary Nodules on Thoracic CT images A View-Based Toeplitz-Matrix-Supported System for Word Recognition without Segmentation A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids An Intelligent Runoff Forecasting Method Based on Fuzzy sets, Neural network and Genetic Algorithm
×
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