![基于ID3决策树算法的电力业务协同分类方法及系统](/CN/2019/1/172/images/201910860591.jpg)
基本信息:
- 专利标题: 基于ID3决策树算法的电力业务协同分类方法及系统
- 专利标题(英):Power business collaborative classification method and system based on ID3 decision tree algorithm
- 申请号:CN201910860591.2 申请日:2019-09-11
- 公开(公告)号:CN110766272A 公开(公告)日:2020-02-07
- 发明人: 司为国 , 朱炯 , 张博 , 张玉鹏 , 赵开 , 郭小茜 , 张浩 , 俞成彪 , 严志毅 , 闫宇铎 , 曹杰人 , 金仁云 , 宋惠忠 , 李骏 , 柳志军 , 唐鸣 , 张益军 , 施萌 , 张俊 , 侯伟宏 , 钟晓红 , 何可人 , 高瑾 , 吴颖 , 陈晨 , 厉律阳 , 徐国锋 , 章晨璐 , 朱小炜 , 孙远 , 向新宇 , 华玫 , 沈志强 , 朱坚 , 孙建军 , 仲从杰 , 毛无穷 , 刘磊
- 申请人: 国网浙江省电力有限公司杭州供电公司
- 申请人地址: 浙江省杭州市上城区建国中路219号
- 专利权人: 国网浙江省电力有限公司杭州供电公司
- 当前专利权人: 国网浙江省电力有限公司杭州供电公司,浙江中新电力工程建设有限公司
- 当前专利权人地址: 浙江省杭州市上城区建国中路219号
- 代理机构: 杭州华鼎知识产权代理事务所
- 代理人: 黄利群
- 主分类号: G06Q10/06
- IPC分类号: G06Q10/06 ; G06Q50/06
The invention discloses a power business collaborative classification method and system based on an ID3 decision tree algorithm. The power business collaborative classification method comprises the following steps: obtaining a power business collaborative related database, and extracting a sample set S from the power business collaborative related database; extracting an index set A, wherein the index set A contains indexes for evaluating the business collaboration data; calculating the information entropy and the information gain of each index for the sample set S based on an ID3 algorithm soas to select a proper root node and a proper intermediate node; and constructing a decision tree according to the selected root node; evaluating and selecting each service cooperation scheme based onthe decision tree. The invention further discloses a corresponding system. According to the power business collaborative classification method, information entropy and information gain calculation isadopted, and the calculation amount is relatively small, and the classification accuracy is high, and the power business collaborative classification method is applied to cooperative data calculationand analysis of services such as power outsourcing, and optimal division characteristics are selected as nodes to generate a decision-making tree and perform data classification, and classification is rapid and good in effect, and cooperative management of the services such as power outsourcing is effectively achieved.