Power business collaborative classification method and system based on ID3 decision tree algorithm

A technology of electric power business and classification method, applied in computing, computer components, data processing applications, etc., can solve problems such as reduced work efficiency and benefits, disorder, and inability to obtain power collaborative work solutions, achieving good results and small calculations , the effect of quick classification

Pending Publication Date: 2020-02-07
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO +1
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Problems solved by technology

Therefore, the original sample data is messy. If it cannot be effectively classified and evaluated, and the optimal

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  • Power business collaborative classification method and system based on ID3 decision tree algorithm
  • Power business collaborative classification method and system based on ID3 decision tree algorithm
  • Power business collaborative classification method and system based on ID3 decision tree algorithm

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Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with specific embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, method, or functional changes made by those skilled in the art according to these embodiments are included in the protection scope of the present invention.

[0053] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0054] Such as figure 1 As shown, a collaborative classification method for power services base...

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Abstract

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.

Description

technical field [0001] The invention relates to the technical field of power system data processing, in particular to a method and system for collaborative classification of power services based on ID3 decision tree algorithm. Background technique [0002] With the construction requirements of "Ubiquitous Power Internet of Things", the country continues to accelerate the pace of development and promote the reform of the power system. my country's power supply companies have introduced advanced data technologies such as big data and artificial intelligence to build a world-class energy Internet with global competitiveness. The company's strategic deployment is escorted. [0003] In order to achieve intensive management of human resources, finance, and materials to meet the needs of new forms, power supply companies sometimes need to outsource part of their business to mobilize social resources. However, these business processes may have certain risks in terms of project appro...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q10/0635G06Q50/06G06F18/241G06F18/214
Inventor 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
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
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