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Data Analysis Method of Associated Objects

A technology of data analysis and associated objects, applied in the field of data analysis, can solve the problems of not considering short-term user instability changes, inability to conduct accurate analysis, lack of short-term users, etc., to avoid data shortage, reliably predict data, and consider comprehensively Effect

Active Publication Date: 2016-05-11
上海宝钢钢材贸易有限公司 +1
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  • Claims
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Problems solved by technology

The disadvantage of the former is that it does not consider the unstable changes of short-term users, and the latter cannot be accurately analyzed due to the lack of sufficient information on short-term users

Method used

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  • Data Analysis Method of Associated Objects
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no. 1 example

[0066] Now take the car plate users in a certain area as the associated objects as an example to illustrate.

[0067] In step a), select the area where the resource consumption (steel consumption) of the automobile plate users needs to be analyzed, such as the Shanghai area. Containing objects in the region consumes resources, ie steel.

[0068] In step b), the continuous activity time T of all users (objects) in the area in the past 5 years is collected i . For users (objects) A, B, C, D, E, F, G, their continuous activity time T i Respectively T 1 =3, T 2 =2,T 3 =5,T 4 =1, T 5 =4,T 6 =5,T 7 =3.

[0069] In step c), let the user (object) number i=1.

[0070] In step d), determine the current user (object) T i > 2 is true, obviously true, then go to step e).

[0071] In step e), determine the current user (object) T i Whether ≥5 is established, obviously not established, then let user A (object) be the medium-term object, and turn to step g).

[0072] In step g)...

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Abstract

The invention discloses a data analysis method of an association object. The method comprises; (1) choosing an area which needs data analysis and contains objects which consumes resources; (2) setting analysis time, obtaining continued activity time of the objects in the analysis time in the area; (3) dividing the objects into short-term objects, medium-term objects and long-term objects according to the continued activity time of the objects; (4) obtaining resource consumption of the short-term objects, the medium-term objects and the long-term objects in the analysis time; (5) calculating the resource consumption relationship between the long-term objects and the medium-term objects, and the resource consumption relationship between the long-term objects and the short-term objects; (6) obtaining forecast resource consumption of the long-term object; (7) calculating forecast resource consumption of the medium-term objects and short-term objects based on a regression model and the resource consumption relationships; (8) adding the forecast resource consumption of the long-term objects, the medium-term objects and the short-term objects to get final forecast resource consumption.

Description

technical field [0001] The invention relates to a data analysis method, in particular to a data analysis method for associating objects. Background technique [0002] With the development of market economy, the management of regional user information of product users (product consumption enterprises) by production enterprises has become the basis for improving their own competitiveness and realizing strategic development. Among them, the key influence is the accurate and reliable prediction and management of user demand information in the region. Demand forecasting is the foundation and starting point of supply chain management. In order to reduce errors and improve forecast accuracy, a scientific demand forecast system should be used to forecast market demand. [0003] For example, for iron and steel enterprises, especially those that produce steel for automobiles, it is specifically reflected in how to realize the prediction and calculation of the steel consumption of do...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 马苏
Owner 上海宝钢钢材贸易有限公司
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