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Smart learning calculation method based on multi-source heterogeneous data analysis

A multi-source heterogeneous data and computing method technology, applied in the field of smart learning computing, can solve problems such as difficult maintenance and management, data collection, and computing difficulties

Inactive Publication Date: 2018-05-04
广州智聚行科技有限公司
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  • Abstract
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Problems solved by technology

[0004] Since the data are distributed in different systems, it is difficult to maintain and manage them in the same way, which makes subsequent data collection and calculation difficult

Method used

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  • Smart learning calculation method based on multi-source heterogeneous data analysis

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Embodiment Construction

[0022] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .

[0023] The invention provides a smart learning method based on the analysis of multi-source heterogeneous data. For different databases, the database interface is opened to realize reading and writing. The overall architecture includes different databases, interfaces, a data integration module that processes the metadata after extracting the metadata in the database, and an application analysis module. Each database includes structured data and unstructured data. Such as figure 1 As shown, it specifically includes the following steps:

[0024] S1: extract metadata from each database;

[0025] In this step, the data integration module extracts all r...

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Abstract

The invention discloses a smart learning calculation method based on multi-source heterogeneous data analysis. The method comprises an extraction step, wherein metadata is extracted from all databases; an acquisition step, wherein key field information and a data structure of each piece of metadata are acquired, wherein each data structure comprises a completion result, the key field information contains a plurality of bytes, and each byte comprises at least one character; a matching step, wherein matching is performed on the metadata of the corresponding data structures according to the key field information in combination with matching rules; and a calculation step, wherein a mean value of the completion results matched with the key field information is calculated, and the mean value iswritten into the key field information. According to the method, by extracting and integrating student exercise data in different database, it is convenient for a user to obtain the corresponding metadata through key field matching so as to evaluate student exercises.

Description

technical field [0001] The invention relates to a smart learning computing method based on multi-source heterogeneous data analysis. Background technique [0002] At present, parents are paying more and more attention to the education and training of their children. In primary and secondary schools and some training institutions, there are often various learning management systems for children's learning, which store various structured and unstructured data. When you want to make statistics and calculations on students' learning, you need to extract data from the corresponding databases of each system. [0003] However, the existing technology has the following defects: [0004] Since the data are distributed in different systems, it is difficult to maintain and manage them uniformly, which makes subsequent data collection and calculation difficult. Contents of the invention [0005] In order to overcome the deficiencies of the prior art, the purpose of the present inven...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/20
CPCG06Q50/205G06F16/907
Inventor 丁娜
Owner 广州智聚行科技有限公司
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