Data excavation system and method

Abstract

The invention discloses a data mining system and method, comprising: a business problem template management unit for defining a business problem template; a data processing unit for importing and processing original data formats, using various mathematical operations or statistical algorithms to The variables in it are calculated or new derived variables are generated to generate a superset of business problem template definition variables, and are also used to provide data output in a specified data format; the model management unit is used to assist data mining model training, model evaluation, and model The release of the model and the scoring application of the model; the model display unit is used to provide the end business user with a friendly, business language result display interface. The invention facilitates technicians to develop data mining projects and lowers the technical threshold required for data mining.

Description

Technical field [0001] The present invention relates to the field of data analysis and mining in the telecommunication industry, and 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, transform, analyze and other model processing of a large number of business data in the business database, and extract key data that assist business decision-making from it. [0003] As competition in the telecommunications industry intensifies, it is very important for telecommunications companies to achieve precise marketing. Applying data mining technology to the telecommunications field, in a mature telecommunications IT system, extracting and mining hidden and valuable knowledge from mass data such as customer call behavior, consumption behavior, and interaction behavior, and through customer grouping, Customer churn...

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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