基于J48算法和基于蚁群的AJ48算法的登革热数据集分类

N. Saravanan, V. Gayathri
{"title":"基于J48算法和基于蚁群的AJ48算法的登革热数据集分类","authors":"N. Saravanan, V. Gayathri","doi":"10.1109/ICICI.2017.8365302","DOIUrl":null,"url":null,"abstract":"This research work manages productive data mining methodology for predicting the dengue from medicinal records of patients. Dengue is an extremely regular disease nowadays in all populations and in all age gatherings. Dengue to coronary disease and builds the dangers of creating kidney ailment, nerve harm, vein harm and visual deficiency. So mining the dengue data in a productive way is a basic issue. The Dengue Dataset collected on Krishnagiri district Government Hospital is utilized as a part of this paper; which gathers the data of patients with and without having dengue. The modified J48 classifier is utilized to build the precision rate of the data mining system. The data mining tool WEKA has been utilized for creating the modified J48 classifiers. Exploratory outcomes demonstrated a noteworthy change over the current J48 algorithm [1].","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Classification of dengue dataset using J48 algorithm and ant colony based AJ48 algorithm\",\"authors\":\"N. Saravanan, V. Gayathri\",\"doi\":\"10.1109/ICICI.2017.8365302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work manages productive data mining methodology for predicting the dengue from medicinal records of patients. Dengue is an extremely regular disease nowadays in all populations and in all age gatherings. Dengue to coronary disease and builds the dangers of creating kidney ailment, nerve harm, vein harm and visual deficiency. So mining the dengue data in a productive way is a basic issue. The Dengue Dataset collected on Krishnagiri district Government Hospital is utilized as a part of this paper; which gathers the data of patients with and without having dengue. The modified J48 classifier is utilized to build the precision rate of the data mining system. The data mining tool WEKA has been utilized for creating the modified J48 classifiers. Exploratory outcomes demonstrated a noteworthy change over the current J48 algorithm [1].\",\"PeriodicalId\":369524,\"journal\":{\"name\":\"2017 International Conference on Inventive Computing and Informatics (ICICI)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Inventive Computing and Informatics (ICICI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICI.2017.8365302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Inventive Computing and Informatics (ICICI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICI.2017.8365302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本研究工作管理了从患者病历中预测登革热的生产性数据挖掘方法。登革热是当今在所有人群和所有年龄段人群中极为常见的疾病。登革热会导致冠状动脉疾病,并造成肾脏疾病、神经损伤、静脉损伤和视力缺陷的危险。因此,以一种富有成效的方式挖掘登革热数据是一个基本问题。在克里希纳吉里区政府医院收集的登革热数据集被用作本文的一部分;它收集了登革热患者和非登革热患者的数据。利用改进的J48分类器构建数据挖掘系统的准确率。数据挖掘工具WEKA用于创建修改后的J48分类器。探索性结果表明,与当前的J48算法相比有了显著的变化[1]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of dengue dataset using J48 algorithm and ant colony based AJ48 algorithm
This research work manages productive data mining methodology for predicting the dengue from medicinal records of patients. Dengue is an extremely regular disease nowadays in all populations and in all age gatherings. Dengue to coronary disease and builds the dangers of creating kidney ailment, nerve harm, vein harm and visual deficiency. So mining the dengue data in a productive way is a basic issue. The Dengue Dataset collected on Krishnagiri district Government Hospital is utilized as a part of this paper; which gathers the data of patients with and without having dengue. The modified J48 classifier is utilized to build the precision rate of the data mining system. The data mining tool WEKA has been utilized for creating the modified J48 classifiers. Exploratory outcomes demonstrated a noteworthy change over the current J48 algorithm [1].
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