Data mining system and application thereof in big data environment
A data mining and big data technology, applied in special data processing applications, electrical digital data processing, digital data information retrieval, etc., to achieve the effect of improving visualization
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2019-02-22
- Estimated Expiration
- Not applicable · inactive patent
Abstract
Description
technical field
[0001] The invention relates to a data mining system, in particular to a data mining system and its application in a big data environment. Background technique
[0002] With the rapid development of information technology, all walks of life in society continue to generate a variety of massive data, resulting in explosive data growth and entering the era of big data. The massive amounts of data accumulated in various industries generally contain rich knowledge of hidden and usable value, but at the same time, big data is also characterized by unpredictable and diverse content, so powerful data analysis tools are urgently needed to analyze and process the data. So as to provide powerful information support for business decision-making, education and other fields. Data mining technology is a symbol of the information age, which refers to the process of finding useful information from a large amount of complex and complex massive data stored in various informati...
Examples
Embodiment Construction
[0021] Data mining system in big data environment, including:
[0022] The data preprocessing module is used to collect the original data that needs to be mined from the data source, and then use the cleaning algorithm and call the relevant interface services of the model to perform cleaning operations on the original data and output the cleaning results, and then integrate the described data by category Clean the results and select relevant data with useful value, and finally submit the preprocessing results to the control layer after type conversion;
[0023] The data mining module first separates the preprocessing results of the data preprocessing module by category through the controller; secondly, uses the corresponding classification algorithm to analyze and study different types of data, and find out hidden valuable data; finally, the controller according to The type of sampling result selects the optimal mining type and mining algorithm to complete the data mining task...