Decision making method and system based on big data

A decision-making method and big data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of decision-making methods or systems that are not universal, and achieve the effect of overcoming the lack of universality.

Inactive Publication Date: 2014-10-29
BEIJING CYCLE CENTURY DIGITAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a decision-making method and system based on big data, to solve the problem that existing decision-making methods or systems based on big data do not have universality

Method used

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  • Decision making method and system based on big data
  • Decision making method and system based on big data
  • Decision making method and system based on big data

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Experimental program
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Embodiment 1

[0055] The first embodiment discloses a decision-making method based on big data.

[0056] In order to support enterprises and individuals in different industries to make decisions and ensure that the method is universal, the present invention pre-integrates a series of influencing factors that can be used in various industries and can affect each link of decision-making. Collection factors such as industry types, data keywords, and data similarity that affect data collection, decision-making factors such as association rule strategies that can affect decision-making links, and decision-making purposes, and on this basis, provide users with various impacts on integration The setting function of setting factors, so that users in different industries can realize the custom customization of collection rules, decision rules and other required rules by simply setting each influencing factor.

[0057] The method of the present invention can realize its function by means of a softwar...

Embodiment 2

[0089] In order to ensure the validity of the classification model and make it have a high classification accuracy, refer to figure 2 , in the second embodiment, after step S101, the following steps are added:

[0090] S104: Select a sample of the original data, use the selected sample data to verify the classification model, and adjust the classification model according to the verification result when the verification result does not meet the desired goal.

[0091] Specifically, the sample selection methods include simple random sample selection, cluster sample selection, stratified sample selection and other methods, and the user can select a certain method through setting to realize sample selection.

[0092]On the basis of sample selection, continue to use the selected sample data to verify the classification model to evaluate the prediction accuracy of the model, and adjust and calibrate the classification model according to the verification results when the verification...

Embodiment 3

[0100] Real-world data is likely to be incomplete, noisy or inconsistent, etc., and high-quality decision-making depends on high-quality data. Therefore, in the second embodiment, after obtaining the original data from the data source, add the The preprocessing process of raw data provides support for subsequent high-quality mining and high-quality decision-making.

[0101] Specifically, refer to image 3 , the method of the present invention also includes after step S104:

[0102] S105: Perform preprocessing on the raw data using a set preprocessing rule, and use the preprocessed data as new data to be classified, the preprocessing rule includes at least one preprocessing operation with a set operation mode, The operation mode of a certain preprocessing operation is determined by the user based on the pre-integrated operation mode set of the preprocessing operation.

[0103] Among them, such as Figure 4 As shown, the preprocessing includes: data cleaning, data integration...

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Abstract

The invention discloses a decision making method and system based on big data. The method integrates a series of decision making influence factors commonly used for all industries in advance and has the setting function of setting all the influence factors so that users in all walks of life can customize acquisition rules, decision making rules and the like required by decision making through simple setting, and for instance, the users can set industry types and data keywords to formulate the acquisition rules. Meanwhile, a universal classification model is built in advance, data to be classified can be classified by the model on the basis of auxiliary information set by the users according to service requirements of the users, so that data required by the users can be further mined conveniently, and target data are obtained. For instance, acquired medical data can be classified in terms of diseases by the model according to the auxiliary information of the diseases set by the users, and finally decisions are made according to the decision making rules set by the users. It is clear that the decision making method and system based on big data overcome the defect that an existing decision making method is not universal.

Description

technical field [0001] The invention belongs to the technical field of data mining and processing based on big data, and in particular relates to a decision-making method and system based on big data. Background technique [0002] At present, people live in the era of big data, and all kinds of data are growing explosively. Every day, a large amount of information and data from various industries such as information, entertainment, finance, medical care, and education are injected into the network, forming massive data. [0003] Mining valuable data from these massive data, and analyzing it to make effective decisions can provide reference and assistance for enterprises or individuals in various industries, such as mining cases and treatment methods of certain diseases in the medical industry from massive data And the treatment effect and other information, through the analysis of the treatment method and the corresponding treatment effect of each case, the optimal method fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/24564G06F16/2465
Inventor 程恒炎高伟李登彪陈烨
Owner BEIJING CYCLE CENTURY DIGITAL TECH
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