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Data mining method based on fuzzy algorithm under big data background

A data mining and fuzzy algorithm technology, applied in electrical digital data processing, special data processing applications, computing, etc., can solve problems such as insufficient efficiency and can not meet the requirements of data mining extremely well, and achieve accurate and efficient data. The effect of mining

Inactive Publication Date: 2015-07-08
上海蓬景数字营销策划有限公司
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Problems solved by technology

However, although it improves the clustering ability, its efficiency is still not high enough to meet the requirements of data mining under the background of big data.

Method used

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  • Data mining method based on fuzzy algorithm under big data background
  • Data mining method based on fuzzy algorithm under big data background

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Embodiment Construction

[0014] In the following description, reference is made to the accompanying drawings, which illustrate several specific embodiments by way of illustration. It will be appreciated that other embodiments are conceivable and can be made without departing from the scope or spirit of the application. Therefore, the following detailed description should not be considered in a limiting sense.

[0015] According to an embodiment of the present invention, figure 1 It illustrates a data mining method based on fuzzy algorithm in the background of big data, including the following steps: 1) Prepare the data, and prepare the data to be mined from the big data, because the original data to be mined is not directly suitable for Because it is mined by data, it needs to be pre-processed, including but not limited to data selection, cleaning, speculation, and transformation operations. This step is the most basic operation, because the quality of its results directly determines the follow-up T...

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Abstract

The invention discloses a data mining method based on a fuzzy algorithm under a big data background and mainly relates to the technical field of electric data digital processing, in particular to a data mining method under a big data background. The data mining method based on the fuzzy algorithm under the big data background is characterized by comprising the following steps that firstly, data preparation is conducted, data to be mined are prepared from big data and are preprocessed; secondly, the data are mined, and according to a mining objective and a mining demand, the fuzzy clustering algorithm is selected to mine a data rule; thirdly, a mining result is evaluated and analyzed, the mining result is explained, analyzed and a needed or interesting law is extracted, and the mining result is restored to be data language which can be understood by people; fourthly, the mining evaluation result is applied in actual decision making. The method can solve the technical problem of how to accurately and efficiently conduct data mining in the process of big data information processing.

Description

technical field [0001] The present invention generally relates to the technical field of electrical data digital processing, and more specifically, relates to a data mining method under the background of big data. Background technique [0002] With the continuous improvement of social industrialization and informatization, data has replaced computing as the center of information computing. Cloud computing and big data are becoming a trend and trend, including storage capacity, availability, I / O performance, and data security. , scalability and many other aspects. Big data is very large and complex data sets. Big data has 4V: Volume (a large amount), the amount of data continues to increase rapidly; Velocity (high speed), data I / O speed is faster; Variety (variety), data types and sources are diversified; Value (value), it exists in all aspects available value. How to extract and obtain desired knowledge or interesting information from massive data is a requirement for mak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 杨立波
Owner 上海蓬景数字营销策划有限公司
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