Education big data based analysis method
An analysis method and data technology, applied in the field of analysis based on educational big data, can solve problems such as the improvement of stay management methods, the lack of overall planning and comprehensive research on specific applications, and inconsistent data standards, and achieve the effect of improving quality and efficiency
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no. 1 example
[0035] see figure 2 , is an analysis method applied to the above-mentioned analysis device 100 based on educational big data provided by the embodiment of the present invention, which will be combined below figure 2 Describe the steps involved.
[0036] Step S101: Obtain a data source.
[0037] The obtained data sources can be composed of data collected by multiple sets of collection equipment and manually imported data. Since the data obtained by collection equipment and manually imported data are the most basic raw data, not only the structure is diverse but also It carries a lot of redundant information, so it is necessary to preprocess this row of raw data according to the preset standard format. During the cleaning process, redundant information is filtered out to meet the usage requirements. When the data is cleaned according to the preset standard format, the corresponding type of data is also marked with a classification label. For example, when the data is identif...
no. 2 example
[0082] The embodiment of the present invention also provides a data analysis device 110, such as Figure 4 shown. The data analysis device 110 includes: an acquisition module 111 , an identification module 112 , an extraction module 113 , an analysis module 114 and a model building module 115 .
[0083] The obtaining module 111 is configured to obtain a data source, wherein the data source is a data source preprocessed according to a preset standard format.
[0084] The identifying module 112 is configured to identify the type of the data source, and store the identified data source in a corresponding database.
[0085] The extraction module 113 is configured to extract data to be analyzed from the database when the data stored in the database needs to be analyzed. Further, as Figure 5As shown, the extraction module 113 includes: a data extraction sub-module 1131 and a feature extraction sub-module 1132 .
[0086] The data extraction sub-module 1131 is used to extract aud...
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