IVR导航树的KDD:案例研究

Thiago T. Angelico, Thais Santos Bueno, Silvio Bortoleto, Anderson Ravanello
{"title":"IVR导航树的KDD:案例研究","authors":"Thiago T. Angelico, Thais Santos Bueno, Silvio Bortoleto, Anderson Ravanello","doi":"10.1109/HIS.2009.305","DOIUrl":null,"url":null,"abstract":"This article presents a case study about datamining applied in IVR’s navigation trees. Using data from a Call Center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data mining algorithms, were used three types of Data Mining Algorithms. After the mining process, new information about the navigation could be discovered and the data could be better understood.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"KDD on IVR Navigation Trees: Case Study\",\"authors\":\"Thiago T. Angelico, Thais Santos Bueno, Silvio Bortoleto, Anderson Ravanello\",\"doi\":\"10.1109/HIS.2009.305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a case study about datamining applied in IVR’s navigation trees. Using data from a Call Center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data mining algorithms, were used three types of Data Mining Algorithms. After the mining process, new information about the navigation could be discovered and the data could be better understood.\",\"PeriodicalId\":414085,\"journal\":{\"name\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIS.2009.305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Ninth International Conference on Hybrid Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2009.305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了数据挖掘在IVR导航树中的应用。使用来自呼叫中心的数据,主要目标是发现有关电话呼叫的信息模式。使用该信息中的特定部分,它显示了对所提供服务的导航树的分析。WEKA是一个数据挖掘工具包,它提供了许多数据挖掘算法的可能性,使用了三种类型的数据挖掘算法。经过挖掘过程,可以发现新的导航信息,更好地理解数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KDD on IVR Navigation Trees: Case Study
This article presents a case study about datamining applied in IVR’s navigation trees. Using data from a Call Center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data mining algorithms, were used three types of Data Mining Algorithms. After the mining process, new information about the navigation could be discovered and the data could be better understood.
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
×
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:481959085
Book学术官方微信