基于数据挖掘的癌症数据集分析

B. R. N. Singh, Sripuram Sai Keerthi, V. S. Nikitha, Sama Sai Sradha, Neelagiri Shiva Rithika, Shivani Dornala
{"title":"基于数据挖掘的癌症数据集分析","authors":"B. R. N. Singh, Sripuram Sai Keerthi, V. S. Nikitha, Sama Sai Sradha, Neelagiri Shiva Rithika, Shivani Dornala","doi":"10.1109/ACCAI58221.2023.10199382","DOIUrl":null,"url":null,"abstract":"This research aims to ensure precision in medical outcomes by comparing and contrasting classification approaches using various (Lucamia) cancer knowledge sets using data processing technologies. Many researchers have investigated this question, and their findings have lent credence to using specialised knowledge bases and classifiers. They have compared and contrasted various knowledge sets, including those found online. Here, we compare the results of a neural network classification with those obtained without one.","PeriodicalId":382104,"journal":{"name":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Analysis of Cancer Data Sets Utilizing Data Mining\",\"authors\":\"B. R. N. Singh, Sripuram Sai Keerthi, V. S. Nikitha, Sama Sai Sradha, Neelagiri Shiva Rithika, Shivani Dornala\",\"doi\":\"10.1109/ACCAI58221.2023.10199382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aims to ensure precision in medical outcomes by comparing and contrasting classification approaches using various (Lucamia) cancer knowledge sets using data processing technologies. Many researchers have investigated this question, and their findings have lent credence to using specialised knowledge bases and classifiers. They have compared and contrasted various knowledge sets, including those found online. Here, we compare the results of a neural network classification with those obtained without one.\",\"PeriodicalId\":382104,\"journal\":{\"name\":\"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACCAI58221.2023.10199382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCAI58221.2023.10199382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本研究旨在通过比较和对比使用各种(Lucamia)癌症知识集使用数据处理技术的分类方法来确保医疗结果的准确性。许多研究人员调查了这个问题,他们的发现为使用专门的知识库和分类器提供了依据。他们比较和对比了各种知识集,包括在网上找到的知识集。在这里,我们将神经网络分类的结果与没有神经网络分类的结果进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis of Cancer Data Sets Utilizing Data Mining
This research aims to ensure precision in medical outcomes by comparing and contrasting classification approaches using various (Lucamia) cancer knowledge sets using data processing technologies. Many researchers have investigated this question, and their findings have lent credence to using specialised knowledge bases and classifiers. They have compared and contrasted various knowledge sets, including those found online. Here, we compare the results of a neural network classification with those obtained without one.
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