Project data management method and system based on big data
A data management system and data management technology, applied in the field of project data management methods and systems based on big data, can solve problems such as inaccurate positioning and unreasonable positioning
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Embodiment 1
[0078] according to figure 1 As shown, the embodiment of the present invention provides a project data management method based on big data, which is characterized by comprising:
[0079] Obtain business requirements, and collect, clean, integrate and mine the business requirements to determine project data;
[0080] Based on a preset big data center, the project data is processed to generate a corresponding project business, and based on the project business, a project model is constructed;
[0081] According to the preset evaluation index, the project model is evaluated, an evaluation result is generated, and the project model is optimized according to the evaluation result.
[0082] The working principle of the above technical solution is as follows:
[0083] In the prior art, the analysis of big data projects requires huge data support, which is not only slow in work efficiency, but also inaccurate in positioning user needs. At the same time, the effect of data fusion is ...
Embodiment 2
[0087] According to the attached figure 2 As shown, this technical solution provides an embodiment of obtaining business requirements, and collecting, cleaning, merging and mining the business requirements to determine project data, including:
[0088] Obtain business requirements, set up a crawler program, and through the crawler program, according to a preset crawling frequency, conduct directional collection of business requirements, and determine the collection data;
[0089] Checking, filtering, cleaning and replacing the collected data to determine cleaning data;
[0090] Based on the preset big data processing center, classify, merge and fuse the cleaning data, and determine the fusion data;
[0091] Based on a preset mining mechanism, the fusion data is mined to determine project data; wherein,
[0092] The mining mechanism is composed of at least a preset decision tree algorithm, a Bayesian classification algorithm, a rule classification algorithm, a neural network...
Embodiment 3
[0098] This technical solution provides an embodiment of performing duplicate checking, filtering, cleaning and replacement on the collected data to determine cleaning data, further comprising:
[0099] Obtain the collection time series of the collected data;
[0100] When the collection time series corresponding to the collection data is repeated, filter the collection data under the repeated collection time series, and retain the unique collection time series and the corresponding collection data;
[0101] When the missing rate of the collection time series corresponding to the collection data exceeds the preset missing rate threshold, cleaning the collection data at the corresponding position of the collection time series;
[0102] When the missing rate of the collection time series corresponding to the collected data is smaller than the preset missing rate threshold, determine the corresponding sample data set under the non-missing collection time series and the correspond...
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