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Data processing system and data mining method

A data processing system and data mining technology, applied in the field of data processing, can solve the problems of complex mining data, lack of correlation processing, and long time-consuming

Inactive Publication Date: 2021-05-14
WENZHOU UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a data processing system and a data mining method, which are used to solve the problems that the existing data processing and mining systems need to mine complex data, take a long time, and lack a related processing technology

Method used

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0047] Accordingly, the detailed description of the embodiments of the invention, which is provided in the following figures, is not intended to limit the scope of the claimed invention but merely represents selected embodiments of the invention.

[0048] Such as figure 1 As shown, a data processing system, the data proc...

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Abstract

The invention discloses a data processing system and a data mining method, belongs to the field of data processing, and is used for solving the problems that the existing data processing and mining system needs numerous and jumbled data mining, consumes long time and lacks an associated processing technology. The method comprises the following steps: acquiring a binary word string character, extracting a keyword in the binary word string character, and marking the keyword as a definition question; establishing a data relation with a big data platform, performing searching by taking the defined question as a keyword, and marking a search result as a database; when data in different databases are the same, marking the definition questions corresponding to the databases as associated group questions; carrying out data mining on the associated group questions, so that in the data processing process, association can be realized, the time required for data mining is reduced, and meanwhile, keywords obtained by data mining are from a data processing system, so that the keyword standardization time is greatly reduced, and the mining time is shortened.

Description

technical field [0001] The invention belongs to the field of data processing, relates to data processing and mining technology, in particular to a data processing system and a data mining method. Background technique [0002] Data analysis refers to the use of appropriate statistical and analytical methods to analyze a large amount of collected data, summarize, understand and digest them, in order to maximize the development of data functions and play the role of data. Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions. [0003] Data, also known as observations, are the results of experiments, measurements, observations, investigations, etc. Data processed in data analysis is divided into qualitative data and quantitative data. Data that can only be classified into a certain category but cannot be measured numerically are called qualitative data. Qualitative data that is categorized but not s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/903
CPCG06F16/2465G06F16/90344
Inventor 王怡婷刘军
Owner WENZHOU UNIVERSITY
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