Internet of Things data mining method

Abstract

The invention discloses an Internet of Things data mining method, the Internet of Things data mining method comprises the steps of classification, review analysis, clustering, association rules, features, change and deviation analysis and Web page mining, and the operation mode of the method is divided into the following specific steps. According to the Internet of Things data mining method, afterthe Internet of Things is mined in various modes, the mined data can be analyzed and processed, one or more superior operation modes are selected according to the data mining information during processing, and the analysis mode is verified multiple times through the corresponding steps, Then, the data with relatively stable data is selected as evaluation preparation data, and the data is input into a computer for virtual simulation calculation and analysis of the operation mode, so that the data tends to be accurate through multiple times of verification and analysis of the network mining data, and the network data is subjected to corresponding computer simulation; and the operation risk can be avoided to a greater extent.

Description

technical field [0001] The invention relates to the field of network data mining, in particular to a data mining method for the Internet of Things. Background technique [0002] Data mining is generally related to computer science and achieves the above goals through a number of methods such as statistics, online analytical processing, intelligence retrieval, machine learning, expert systems (relying on past rules of thumb), and pattern recognition. , the technology of finding its regularity from a large amount of data, mainly includes three steps: data preparation, regularity search and regularity expression. Data preparation is to select the required data from relevant data sources and integrate it into a data set for data mining. The rule search is to find out the rules contained in the data set by a certain method, and the rule representation is to express the found rules in a user-understandable way (such as visualization) as much as possible; [0003] However, the exi...

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Problems solved by technology

[0003] However, the existing Internet of Things data mining methods have certain disadvantages in use. The data obtained by various Internet of Things data mining methods are different, so after selecting superior mining data results, the data has not been obtained much. Verification times, so that the data does not have high accuracy

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