Big data analysis method and data analysis server

Abstract

The invention provides a big data analysis method and a data analysis server. Different interestingness measurement dimensions are comprehensively considered, after all business big data of each dimension is clustered, the performance of different interest measurement dimensions in different data mining project to-be-applied scenes can be ensured to be more unified, the big data mining capabilityis improved, and a plurality of data mining projects of the to-be-mined service can be dynamically determined according to the feature information of each clustering cluster.

Description

technical field [0001] The present application relates to the technical field of big data, in particular, to a big data analysis method, device and data analysis server. Background technique [0002] At present, most of the big data mining schemes for various online businesses (such as order behavior business, browsing behavior business, etc.) only use one measurement dimension of interest degree, although some studies focus on the attributes and behaviors of different measurement dimensions of interest degree , but for a service to be mined, different interest degree measurement dimensions have different performances in different application scenarios of data mining projects, and the limitations of its use limit the ability of big data mining. Moreover, in the whole process of data mining, the data needs to be analyzed first, and then the mining project can be determined. However, existing analysis methods cannot conduct multi-dimensional analysis and accurately obtain min...

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Problems solved by technology

However, the existing analysis methods cannot conduct multi-dimensional analysis and accurately obtain mining item

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