Big data processing method based on cloud platform big data
A big data processing and big data technology, applied in the field of big data, can solve the problems of low accuracy of data mining results and poor mining effect, and achieve the effect of avoiding workload, improving ability, and protecting important data
Active Publication Date: 2022-02-08
厦门久凌创新科技有限公司
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[0003] In order to at least overcome the above-mentioned deficiencies in the prior art, one of the purposes of this application is to provide a big data processing method, by comprehensively considering different interest degree measurement dimensions, after clustering all business big data in each dimension, It can ensure that the performance of different interest degree measurement dimensions is more uniform in different data mining projects to be applied, improve the ability of big data mining, and can dynamically determine multiple data mining services to be mined according to the characteristic information of each cluster Projects and the data dimensions to be mined corresponding to each data mining project, and using them for subsequent data mining, can avoid the possibility of poor mining effect or low accuracy of data mining results in the existing technology when using fixed mining data dimensions. question
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[0045] The present application will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of the present application, unless otherwise specified, "at least one" includes one or more. "Multiple" means two or more. For example, at least one of A, B and C includes: A alone, B alone, A and B at the same time, A and C at the same time, B and C at the same time, and A, B and C at the same time. In this application, " / " means or, for example, A / B can mean A or B; "and / or" in this article is just an association relationship describing associated objects, indicating that there can be three relationships, For example, A and / or B may mean that A exists alone, A and B exist simultaneously, and B exists alone.
[0046] see figure 1 , is a schematic diagram of an application scenario of the big data processing method prov...
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The embodiment of the present application provides a big data processing method and a big data processing server. By comprehensively considering different interest degree measurement dimensions, after clustering all business big data of each dimension, it can be ensured that different interest degree measurement dimensions are in the The performance of different data mining projects is more uniform in the application scenarios, improving the ability of big data mining, and can dynamically determine multiple data mining projects to be mined and the corresponding data mining projects according to the characteristic information of each cluster. The dimension of the data to be mined, and subsequent data mining based on it, can avoid the problem of poor mining effect or low accuracy of data mining results that may occur in the prior art when using fixed mining data dimensions.
Description
technical field [0001] The present application relates to the technical field of big data, in particular, to a big data processing method based on cloud platform big data. 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 data mining project application scenarios, and its use limitations limit the ability in big data mining. Moreover, in the entire data mining process, most of them use fixed mining data dimensions for mining. However, when there are too many dimensions of mining data, these fixed mining data dimensions may not be able to achieve a better mining e...
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IPC IPC(8): G06F16/906G06F16/903G06F21/60
CPCG06F16/906G06F16/90335G06F21/602
Inventor 陈泉鑫罗茂锐陈少海
Owner 厦门久凌创新科技有限公司