Data excavation system and method

Abstract

The invention discloses a data mining system and a method. The system comprises a service problem template management unit for defining service question template; a data processing unit for introducing and processing original data format, computing the variables in the original data format using multiple mathematical operation or statistical algorithm or generating new derivative variables, generating superset of variables defined by the service problem template, and providing data output with designated data format; a model management unit for assisting data mining model training, model evaluation, model issuance and model scoring; and a model display unit for providing a friendly result display interface of service language for the ultimate service user. The invention facilitates technical staff to develop data mining project, and reduces technical threshold of data mining.

Description

technical field [0001] The present invention relates to the field of data analysis and mining in the telecommunication industry, in particular to a data mining system and method dedicated to the telecommunication industry. Background technique [0002] Data mining technology is a new business information processing technology. Its main feature is to extract, convert, analyze and model a large amount of business data in the business database, and extract key data to assist business decision-making. [0003] With the intensification of competition in the telecommunications industry, it is very important for telecommunications companies to achieve precise marketing. Apply data mining technology to the field of telecommunications. In the mature telecommunications IT system, extract and mine hidden and valuable knowledge from massive data such as customer call behavior, consumption behavior, and interactive behavior. Through customer grouping, Customer churn prediction, product ...

AI Technical Summary

Problems solved by technology

[0005] 1. People who are proficient in business are required to identify business problems and define business problems;

[0006] 2. Business personnel and IT personnel familiar with system data are required to determine variables related to business issues;

[0007] 3. IT personnel are required to extract, clean, convert and load data from related systems;

Therefore, at present, telecommunications companies at all levels have to rely on the strength of external consulting companies to carry out data mining projects, relying only on the internal personnel of telecommunications companies, it is difficult to meet the technical threshold required for data mining

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