配电公司客户付款接受预测的机器学习方法

Ioannis Mamalikidis, Christos Karapiperis, L. Angelis, Grigorios Tsoumakas, I. Vlahavas
{"title":"配电公司客户付款接受预测的机器学习方法","authors":"Ioannis Mamalikidis, Christos Karapiperis, L. Angelis, Grigorios Tsoumakas, I. Vlahavas","doi":"10.1145/3139367.3139406","DOIUrl":null,"url":null,"abstract":"In this short paper, we use machine learning methods to maximise the efficiency in the Hellenic Electricity Distribution Network Operator (HEDNO) S.A.'s project management by predicting which upcoming projects are going to be paid by the customer, thus enabling the company to fetch all needed materials in time, and to avoid unwanted delays in the operations of the company.","PeriodicalId":436862,"journal":{"name":"Proceedings of the 21st Pan-Hellenic Conference on Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company\",\"authors\":\"Ioannis Mamalikidis, Christos Karapiperis, L. Angelis, Grigorios Tsoumakas, I. Vlahavas\",\"doi\":\"10.1145/3139367.3139406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this short paper, we use machine learning methods to maximise the efficiency in the Hellenic Electricity Distribution Network Operator (HEDNO) S.A.'s project management by predicting which upcoming projects are going to be paid by the customer, thus enabling the company to fetch all needed materials in time, and to avoid unwanted delays in the operations of the company.\",\"PeriodicalId\":436862,\"journal\":{\"name\":\"Proceedings of the 21st Pan-Hellenic Conference on Informatics\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st Pan-Hellenic Conference on Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3139367.3139406\",\"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 21st Pan-Hellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139367.3139406","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

在这篇短文中,我们使用机器学习方法来最大限度地提高希腊配电网络运营商(HEDNO) S.A.的效率通过预测哪些即将到来的项目将由客户付款,从而使公司能够及时获取所需的所有材料,避免公司运营中不必要的延误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company
In this short paper, we use machine learning methods to maximise the efficiency in the Hellenic Electricity Distribution Network Operator (HEDNO) S.A.'s project management by predicting which upcoming projects are going to be paid by the customer, thus enabling the company to fetch all needed materials in time, and to avoid unwanted delays in the operations of the company.
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:604180095
Book学术官方微信