CN110309578B - Economic data fitting system and method based on computer data processing - Google Patents
Economic data fitting system and method based on computer data processing Download PDFInfo
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Abstract
The invention belongs to the technical field of economic data fitting, and discloses a computer data processing-based economic data fitting system and a computer data processing-based economic data fitting method, wherein the computer data processing-based economic data fitting system comprises the following components: the system comprises an economic data acquisition module, a main control module, a coordinate construction module, a curve drawing module, a fitting module, an economic map construction module, an analysis module, a data storage module and a display module. According to the invention, basic data analysis and information extraction can be completed through the economic spectrum construction module, the economic spectrum can be constructed by using the mined information, and deep information and implicit association are mined by using the economic spectrum; meanwhile, a rapid, efficient and visual analysis method is realized through an analysis module; establishing a coding database according to different dimensionalities of macro economic index data or micro enterprise detail data; the method is convenient for a user to quickly and accurately determine the data required to be analyzed when in use, and improves the precision and efficiency of the system.
Description
Technical Field
The invention belongs to the technical field of economic data fitting, and particularly relates to an economic data fitting system and method based on computer data processing.
Background
The economic data is the total value of domestic production, the first industry, the second industry (industry, building industry) and the third industry (transportation, storage and post and telecommunications industry, wholesale retail trade and catering industry). The economy is the creation, transformation and realization of value; the economic activities of human beings are activities of creating, converting and realizing values and meeting the cultural and living demands of human beings. Simply stated, economy is the management of materials; is a general term for the overall dynamic phenomenon of producing, using, processing and distributing all materials. The concept refers to household management of a family microscopically, and macroscopically to national economy of a country. In this dynamic ensemble, various activities including production, deposit, exchange, distribution of humans; production is the basis for this dynamic and allocation is the end point of this dynamic. However, when the existing economic data fitting system builds a map, the association relation network built from large-scale data is a complex network, has sparsity and unreadable property, cannot be directly utilized, and cannot intuitively represent the excavated result; meanwhile, economic data cannot be analyzed rapidly, efficiently and intuitively.
In summary, the problems of the prior art are:
(1) When the existing economic data fitting system builds a map, the association relation network built from large-scale data is a complex network, has sparsity and unreadable property, cannot be directly utilized, and cannot intuitively represent the excavated result; meanwhile, economic data cannot be analyzed rapidly, efficiently and intuitively.
(2) The data in the network is collected in the existing economic data fitting system, so that the data collection efficiency of the economic data fitting system is reduced, and the collection energy consumption is increased.
(3) The existing method for classifying the data in the economic data fitting system cannot change the distribution condition of unbalanced data, so that the data distribution among samples becomes unbalanced, and the fitting accuracy is reduced.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an economic data fitting system and method based on computer data processing.
The invention is realized in such a way that an economic data fitting method based on computer data processing comprises the following steps:
firstly, collecting industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and economic data of financial securities data;
secondly, constructing corresponding economic data sample coordinates, and drawing a nonlinear function according to the collected economic data; performing fitting operation on the economic data according to the constructed function by using a MATLAB curve fitting program;
then, constructing an economic map through a map construction program according to the fitted data;
finally, analyzing the economic map, fitting function and economic data information, and storing the acquired economic data through a memory; and simultaneously displaying the collected economic data, the coordinates of the data samples and the drawn nonlinear function through a display.
Further, in the process of collecting industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and economic data of financial securities data by the economic data fitting method based on computer data processing, the following method is adopted to collect data in a network, and the specific process is as follows:
step one, building corresponding node data models for all aspects of industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and financial securities data, and building acquisition trees;
step two, screening data in the network by using the node data model to form a plurality of data samples;
step three, reconstructing a plurality of data samples in the step two by an electronic data aggregation method to form a large data clustering set;
and step four, storing the large data clustering set, and completing data acquisition.
Further, in the process of storing the collected economic data by the memory, the economic data fitting method based on computer data processing adopts the following economic data classification method, and the specific process is as follows:
step one, building a training data set from the collected industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and economic data of financial securities data;
step two, according to the distribution condition of the economic data, the training data set is divided into a minority class and a majority class;
thirdly, constructing a Gaussian mixture model for a few classes, and estimating model parameters by using an EM algorithm; generating new samples from the minority class data samples;
thirdly, randomly underadopting a plurality of economic data samples to form a new sample set;
and step four, forming a new sample set from the two generated sample sets, and classifying by using a naive Bayes classifier.
Further, the economic map construction method of the economic data fitting method based on computer data processing is as follows:
step A, digging the association relation of economic named entities, setting a central point, wherein the central point is directly connected with a first-degree node, the first-degree node is connected with a second-degree node, and the like;
step B, constructing an association network of the economic named entity, and constructing the association network by using the named entity as the vertex and the association relationship as the edge between the two vertices;
step C, generating a six-degree association network of an economic named entity, firstly initializing a center node set, adding center nodes into the set, then initializing a candidate node set, searching the association network, adding the center node set and the candidate node set into the candidate node set for one degree, which is directly connected with the center point, merging the center node set and the candidate node set into a new center node set, searching nodes which are connected with the nodes in the center node set and are no longer in the center set in the association network, adding the candidate nodes, and the like until a six-degree network is generated, or until all the nodes are in the six-degree network;
and D, excavating key nodes, key paths and shortest paths between any two points in the associated economic atlas.
Another object of the present invention is to provide a computer data processing based economic data fitting system based on the computer data processing based economic data fitting method, the computer data processing based economic data fitting system comprising:
the economic data acquisition module is connected with the main control module and used for acquiring economic data such as industrial data, investment data, trade data, foreign resource data, employment data, population data, price index data, financial securities data and the like;
the main control module is connected with the economic data acquisition module, the coordinate construction module, the curve drawing module, the fitting module, the economic map construction module, the analysis module, the data storage module and the display module and used for controlling the normal work of each module through the main control computer;
the coordinate construction module is connected with the main control module and used for constructing economic data sample coordinates through a data processing program;
the curve drawing module is connected with the main control module and is used for drawing a nonlinear function according to the economic data sample coordinates through a drawing program;
the fitting module is connected with the main control module and is used for performing fitting operation on the economic data according to the constructed function through a MATLAB curve fitting program;
the economic spectrum construction module is connected with the main control module and is used for constructing an economic spectrum through a spectrum construction program;
the analysis module is connected with the main control module and is used for analyzing the economic data through an analysis program;
the data storage module is connected with the main control module and used for storing the collected economic data through the memory;
and the display module is connected with the main control module and used for displaying the collected economic data, the data sample coordinates and the drawn nonlinear function through the display.
Another object of the present invention is to provide an information data processing terminal to which the economical data fitting method based on computer data processing is applied.
The invention has the advantages and positive effects that: according to the invention, by means of the economic atlas construction module, aiming at financial field information extraction, named entity identification, association relation mining and association network construction and utilization, basic data analysis and information extraction work can be completed, an economic atlas can be constructed by using the mined information, and deep information and implicit association are mined by using the economic atlas; meanwhile, the data to be analyzed are encoded according to dimensions through an analysis module, indexes to be analyzed and corresponding algorithms are received, layering and grouping operation are carried out on the data according to the encoding and the algorithms, and encoding values are obtained and displayed; according to the invention, by means of the coded data, the method for analyzing economic data from macroscopic to microscopic and from total to local is realized, and three standard coding tables of time, space and industry structure are combined, so that a rapid, efficient and visual analysis method is realized; establishing a coding database according to different dimensionalities of macro economic index data or micro enterprise detail data; the method is convenient for a user to quickly and accurately determine the data required to be analyzed when in use, and improves the precision and efficiency of the system.
According to the invention, the economic data acquisition module acquires the data in the network by adopting the method, so that the data acquisition efficiency of the economic data fitting system is improved, and the acquisition energy consumption is reduced; the invention adopts the economic data classification method to change the distribution condition of unbalanced data, so that the data distribution among samples becomes balanced, and the fitting accuracy is improved.
Drawings
FIG. 1 is a flow chart of an economic data fitting method based on computer data processing provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of an economical data fitting system based on computer data processing according to an embodiment of the present invention;
in the figure: 1. an economic data acquisition module; 2. a main control module; 3. a coordinate construction module; 4. a curve drawing module; 5. fitting a module; 6. an economic map construction module; 7. an analysis module; 8. a data storage module; 9. and a display module.
Detailed Description
For a further understanding of the invention, its features and advantages, reference is now made to the following examples, which are illustrated in the accompanying drawings.
The structure of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the economic data fitting method based on computer data processing provided by the invention comprises the following steps:
s101: firstly, collecting economic data such as industrial data, investment data, trade data, foreign material data, employment data, population data, price index data, financial securities data and the like;
s102: constructing corresponding economic data sample coordinates, and drawing a nonlinear function according to the collected economic data; performing fitting operation on the economic data according to the constructed function by using a MATLAB curve fitting program;
s103: constructing an economic map through a map construction program according to the fitted data;
s104: analyzing the economic map, fitting function, economic data and other information, and storing the acquired economic data through a memory; and simultaneously displaying the collected economic data, the coordinates of the data samples and the drawn nonlinear function through a display.
As shown in fig. 2, the economic data fitting system based on computer data processing provided in the embodiment of the present invention includes: the system comprises an economic data acquisition module 1, a main control module 2, a coordinate construction module 3, a curve drawing module 4, a fitting module 5, an economic map construction module 6, an analysis module 7, a data storage module 8 and a display module 9.
The economic data acquisition module 1 is connected with the main control module 2 and is used for acquiring economic data such as industrial data, investment data, trade data, foreign material data, employment data, population data, price index data, financial securities data and the like;
the main control module 2 is connected with the economic data acquisition module 1, the coordinate construction module 3, the curve drawing module 4, the fitting module 5, the economic map construction module 6, the analysis module 7, the data storage module 8 and the display module 9 and is used for controlling the normal work of each module through the main control computer;
the coordinate construction module 3 is connected with the main control module 2 and is used for constructing economic data sample coordinates through a data processing program;
the curve drawing module 4 is connected with the main control module 2 and is used for drawing a nonlinear function according to the economic data sample coordinates through a drawing program;
the fitting module 5 is connected with the main control module 2 and is used for performing fitting operation on the economic data according to the constructed function through a MATLAB curve fitting program;
the economic pattern construction module 6 is connected with the main control module 2 and is used for constructing an economic pattern through a pattern construction program;
the analysis module 7 is connected with the main control module 2 and is used for analyzing the economic data through an analysis program;
the data storage module 8 is connected with the main control module 2 and is used for storing the collected economic data through the memory;
and the display module 9 is connected with the main control module 2 and is used for displaying the collected economic data, the data sample coordinates and the drawn nonlinear function through a display.
In the process of collecting industrial data, investment data, trade data, foreign data, employment data, population data, price index data, financial securities data and other economic data, the economic data collection module 1 is used for improving the efficiency of data collection and reducing the collection energy consumption, and the following method is adopted for collecting the data in the network, wherein the specific process is as follows:
step one, building corresponding node data models for all aspects of industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and financial securities data, and building acquisition trees;
step two, screening data in the network by using the node data model to form a plurality of data samples;
and thirdly, reconstructing a plurality of data samples in the second step by an electronic data aggregation method to form a large data clustering set.
And step four, storing the large data clustering set, and completing data acquisition.
In the process of storing the collected economic data by the data storage module 8 through the memory, in order to change the distribution condition of unbalanced data, the data distribution among samples becomes balanced, the fitting accuracy is improved, and the following economic data classification method is adopted, and the specific process is as follows:
step one, establishing a training data set of the collected economic data such as industrial data, investment data, trade data, foreign material data, employment data, population data, price index data, financial securities data and the like;
step two, according to the distribution condition of the economic data, the training data set is divided into a minority class and a majority class;
thirdly, constructing a Gaussian mixture model for a few classes, and estimating model parameters by using an EM algorithm; generating new samples from the minority class data samples;
thirdly, randomly underadopting a plurality of economic data samples to form a new sample set;
and step four, constructing a new sample set from the two generated sample sets, and classifying by using a naive Bayes classifier.
The economic map construction module 6 provided by the invention comprises the following construction methods:
step A, digging the association relation of economic named entities, setting a central point, wherein the central point is directly connected with a first-degree node, the first-degree node is connected with a second-degree node, and the like;
step B, constructing an association network of the economic named entity, and constructing the association network by using the named entity as the vertex and the association relationship as the edge between the two vertices;
step C, generating a six-degree association network of an economic named entity, firstly initializing a center node set, adding center nodes into the set, then initializing a candidate node set, searching the association network, adding the center node set and the candidate node set into the candidate node set for one degree, which is directly connected with the center point, merging the center node set and the candidate node set into a new center node set, searching nodes which are connected with the nodes in the center node set and are no longer in the center set in the association network, adding the candidate nodes, and the like until a six-degree network is generated, or until all the nodes are in the six-degree network;
and D, excavating key nodes, key paths and shortest paths between any two points in the associated economic atlas.
The analysis module 7 provided by the invention comprises the following analysis methods:
1) Coding economic data to be analyzed according to dimensions;
2) Receiving an index to be analyzed and a corresponding algorithm;
3) Layering and grouping operation is carried out on the data according to coding and algorithm, and a coding value is obtained;
4) And displaying the coded value.
The analysis method provided by the invention further comprises the following steps:
establishing a coding database for different dimensionalities of macro economic index data or micro enterprise detail data; the different dimensions include: time, region, industry structure, tax structure, and product.
The invention provides a method for carrying out layering and grouping operation on data according to codes and algorithms to obtain code values, which comprises the following steps:
establishing a tree database according to the coding value;
in the tree database, matching the data conforming to the rule according to the matching condition of the nodes of each tree structure;
the calculation is performed according to an algorithm, and the data result is loaded on each leaf node.
The working principle of the invention is as follows: firstly, an economic data acquisition module 1 acquires economic data such as industrial data, investment data, trade data, foreign material data, employment data, population data, price index data, financial securities data and the like; the main control module 2 controls each module to work normally through the main control computer; according to the acquired data, the coordinate construction module 3 constructs economic data sample coordinates through a data processing program; the curve drawing module 4 is used for drawing a nonlinear function according to the economic data sample coordinates through a drawing program; the fitting module 5 is used for performing fitting operation on the economic data according to the constructed function through MATLAB curve fitting program; the economic spectrum construction module 6 constructs an economic spectrum through a spectrum construction program; then, the analysis module 7 analyzes the economic data through an analysis program; finally, the data storage module 8 stores the collected economic data through a memory; the display module 9 displays the collected economic data, the coordinates of the data samples and the drawn nonlinear function through a display.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the invention in any way, but any simple modification, equivalent variation and modification of the above embodiments according to the technical principles of the present invention are within the scope of the technical solutions of the present invention.
Claims (4)
1. A method for fitting economic data based on computer data processing, characterized in that the method for fitting economic data based on computer data processing comprises the following steps:
firstly, collecting industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and economic data of financial securities data;
secondly, constructing corresponding economic data sample coordinates, and drawing a nonlinear function according to the collected economic data; performing fitting operation on the economic data according to the constructed function by using a MATLAB curve fitting program;
then, constructing an economic map through a map construction program according to the fitted data;
finally, analyzing the economic map, fitting function and economic data information, and storing the acquired economic data through a memory; simultaneously displaying the collected economic data, the coordinates of the data sample and the drawn nonlinear function through a display;
the economic map construction method of the economic data fitting method based on computer data processing comprises the following steps:
step A, digging the association relation of economic named entities, setting a central point, wherein the central point is directly connected with a first-degree node, the first-degree node is connected with a second-degree node, and the like;
step B, constructing an association network of the economic named entity, and constructing the association network by using the named entity as the vertex and the association relationship as the edge between the two vertices;
step C, generating a six-degree association network of an economic named entity, firstly initializing a center node set, adding center nodes into the set, then initializing a candidate node set, searching the association network, adding the center node set and the candidate node set into the candidate node set for one degree, which is directly connected with the center point, merging the center node set and the candidate node set into a new center node set, searching nodes which are connected with the nodes in the center node set and are no longer in the center set in the association network, adding the candidate nodes, and the like until a six-degree network is generated, or until all the nodes are in the six-degree network;
step D, excavating key nodes, key paths and shortest paths between any two points in the associated economic atlas;
in the process of collecting industrial data, investment data, trade data, foreign materials data, employment data, population data, price index data and economic data of financial securities data by the economic data fitting method based on computer data processing, the following method is adopted to collect the data in the network, and the specific process is as follows:
step one, building corresponding node data models for all aspects of industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and financial securities data, and building acquisition trees;
screening data in a network through a node data model to form a plurality of data samples;
step three, reconstructing a plurality of data samples in the step two by an electronic data aggregation method to form a large data clustering set;
and step four, storing the large data clustering set, and completing data acquisition.
2. The economic data fitting method based on computer data processing according to claim 1, wherein the following economic data classification method is adopted in the process of storing the collected economic data through a memory in the economic data fitting method based on computer data processing, and the specific process is as follows:
step one, building a training data set from the collected industrial data, investment data, trade data, foreign material data, employment data, population data, price index data and economic data of financial securities data;
step two, according to the distribution condition of the economic data, the training data set is divided into a minority class and a majority class;
thirdly, constructing a Gaussian mixture model for a few classes, and estimating model parameters by using an EM algorithm; generating new samples from the minority class data samples;
thirdly, randomly underadopting a plurality of economic data samples to form a new sample set;
and step four, forming a new sample set from the two generated sample sets, and classifying by using a naive Bayes classifier.
3. A computer data processing based economic data fitting system based on the computer data processing based economic data fitting method according to any one of claims 1-2, wherein the computer data processing based economic data fitting system comprises:
the economic data acquisition module is connected with the main control module and is used for acquiring industrial data, investment data, trade data, foreign resource data, employment data, population data, price index data and economic data of financial securities data;
the main control module is connected with the economic data acquisition module, the coordinate construction module, the curve drawing module, the fitting module, the economic map construction module, the analysis module, the data storage module and the display module and used for controlling the normal work of each module through the main control computer;
the coordinate construction module is connected with the main control module and used for constructing economic data sample coordinates through a data processing program;
the curve drawing module is connected with the main control module and is used for drawing a nonlinear function according to the economic data sample coordinates through a drawing program;
the fitting module is connected with the main control module and is used for performing fitting operation on the economic data according to the constructed function through a MATLAB curve fitting program;
the economic spectrum construction module is connected with the main control module and is used for constructing an economic spectrum through a spectrum construction program;
the analysis module is connected with the main control module and is used for analyzing the economic data through an analysis program;
the data storage module is connected with the main control module and used for storing the collected economic data through the memory;
and the display module is connected with the main control module and used for displaying the collected economic data, the data sample coordinates and the drawn nonlinear function through the display.
4. An information data processing terminal applying the economical data fitting method based on computer data processing according to any one of claims 1 to 2.
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