Distributed type private and protected data digging based enterprise credit evaluation method

Abstract

The invention discloses a company credit rating method based on distributed privacy protecting data digging which comprises the following steps: 1) using the intelligent Agent and P2P and Grid technology to construct a large scale distributed data digging frame suit for a plurality of departments; 2) using the safety computing and the cryptography to make each department to synergic dig the privacy protecting data; 3) using the digging knowledge generated form the privacy protecting data digging to assistant the company credit rating.

Description

technical field [0001] The invention relates to an enterprise credit evaluation method, in particular to an enterprise credit evaluation method based on distributed privacy protection data mining. Background technique [0002] With the economic globalization, more and more factors are involved in the operation of enterprises. Accurate evaluation of enterprise credit needs to make full use of the financial, taxation, industrial and commercial departments of local governments at all levels, as well as the banks and enterprises. Large amounts of data. Using the method of distributed privacy-preserving data mining can discover more potentially useful knowledge from data stored in different government departments or within enterprises, which can not only greatly reduce the decision-making risks caused by uncertain knowledge, but also provide credit for enterprises. Evaluation provides a more scientific and reasonable basis. [0003] Traditional enterprise credit evaluation meth...

AI Technical Summary

Problems solved by technology

Although this method is simple to operate and low in cost, the data source of the knowledge used in the evaluation is single, which seriously affects the quality of the evaluation results.

At present, although some enterprises use their own data to mine knowledge to assist enterprise credit assessment, the source of data for this kind of knowledge mining is single, which seriously affects the quality of the assessment results. Departments use distributed data mining for knowledge discovery, which will leak the data security of each part, causing each department to be unwilling or not allowed to provide their own private data because of the privacy considerations of their own data, which seriously hinders comprehensive and real knowledge. acquisition and mining, which affects the evaluation quality

Therefore, the traditional enterprise credit evaluation method cannot meet the actual needs

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