Data element extraction analysis system and data element extraction analysis method

Abstract

The invention discloses a data element extraction analysis system and a data element extraction analysis method. The analysis system includes a data source configuration module, a data table access module, an element extraction model configuration module, an element extraction task management module, an element statistic analysis module, and an element association query module; the element extraction model configuration module can flexibly define an element extraction model for an access data table; and the element association query module can achieve data source trace and element association of source trace results on the basis of element query result data information, thereby achieve deep circulation analysis of data.

Description

technical field [0001] The present invention mainly relates to data extraction, data statistics, and association analysis of data mining, in particular to a data element extraction and analysis system and a data element extraction and analysis method. Background technique [0002] With the continuous advancement of science and technology in human society, the rapid development of Internet technology and computer technology, a large amount of various types of data have been accumulated in various industries and government departments. How to make good use of these data according to different needs, discover the hidden relationship between the data and the deep value inside the data is an urgent problem to be solved at present. [0003] In order to solve these problems, a variety of data analysis systems have appeared on the market, such as data retrieval and association analysis, data statistical analysis, etc., but their main principles are based on precise or fuzzy query of...

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Problems solved by technology

[0003] In order to solve these problems, a variety of data analysis systems have appeared on the market, such as data retrieval and association analysis, data statistical analysis, etc., but their main principles are based on precise or fuzzy query of data table fields, and association query between table fields. ; Statistical query of table fields; for this type of data analysis tools, since the retrieved data can only be retrieved based on a single table field (low retrieval efficiency) or multiple table fields simultaneously (low retrieval performance), the data table key for the retrieval results The correlation display between fields (the display is not rich); therefore, the retrieval efficiency of this type of data analysis system is low, the retrieval performance is poor, the data correlation display is not rich, and the data analysis level is not deep;

[0004] For example, China's No. 2013107178299 patent discloses a data comparison method, which includes data extraction, but does not involve the extraction and in-depth analysis of data elements; such as China's No. 2014106459444 patent, which discloses a Data extraction method, but also does not involve in-depth analysis of data elements, it is difficult to bring practical application effects and improve data analysis efficiency

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