CN110297905A - A kind of computer system for economic management analysis data - Google Patents
A kind of computer system for economic management analysis data Download PDFInfo
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- CN110297905A CN110297905A CN201910564954.8A CN201910564954A CN110297905A CN 110297905 A CN110297905 A CN 110297905A CN 201910564954 A CN201910564954 A CN 201910564954A CN 110297905 A CN110297905 A CN 110297905A
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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Abstract
The invention belongs to economic management technical fields, a kind of computer system for economic management analysis data is disclosed, the computer system for economic management analysis data includes: data acquisition module, central control module, economic data categorization module, index identification module, correction module, editor module, update module, display module.The present invention obtains effect by the various dimensions that data acquisition module has reached financial data；Simultaneously, by index identification module according to the multiple socio-economic indicator titles for including in society and politics entity name and socio-economic indicator name set, socio-economic indicator item is generated from text collection to be identified according to presetting method, the socio-economic indicator item includes time, place name, socio-economic indicator title and socio-economic indicator value, realize the automatic identification of the socio-economic indicator to text collection to be identified, saved manpower, financial resource, at the same also greatly reduce identification socio-economic indicator needed for the time.
Description
Technical field
The invention belongs to economic management technical field more particularly to a kind of departments of computer science for economic management analysis data
System.
Background technique
Economy is exactly the management to goods and materials；It is to people's production, use, processing, distributes all goods and materials this overall dynamics
The general name of phenomenon.The household management of the microcosmic finger one family of this concept, macroscopical one national national economy of finger.At this
In one dynamic entirety, the Activities of production, savings, exchange, distribution including the mankind；Production is this dynamic basis,
Distribution is this dynamic terminal.However, the various dimensions that cannot achieve economic financial data obtain during existing economic management
It takes；Due to the particularity of socio-economic indicator, in the related technology, the knowledge of socio-economic indicator is carried out generally by the way of artificial
It not and arranges, however such method not only needs to expend a large amount of manpower, financial resources, while needing to take a substantial amount of time, and imitates
Rate is lower.During being updated in existing computer to database simultaneously, the renewal speed of Computer Database is relatively slow,
Reliability is low；During existing computer system is to data classification processing, it is easy to appear overfitting, reduces data point
The reliability of class.
In conclusion problem of the existing technology is:
(1) during existing economic management, the various dimensions that cannot achieve economic financial data are obtained.
(2) due to the particularity of socio-economic indicator, in the related technology, social economy is carried out generally by the way of artificial
The identification and arrangement of index, however such method not only needs to expend a large amount of manpower, financial resources, while needing to expend a large amount of
Time, efficiency are lower.
During (3) being updated in existing computer to database, the renewal speed of Computer Database is relatively slow,
Reliability is low.
(4) during existing computer system is to data classification processing, it is easy to appear overfitting, reduces data
The reliability of classification.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of departments of computer science for economic management analysis data
System.
The invention is realized in this way a kind of computer system for economic management analysis data, described for economy
The computer system of administrative analysis data includes:
Data acquisition module is connect with central control module, is used for gathering economy related data information；
Central control module, with data acquisition module, economic data categorization module, index identification module, correction module, volume
Module, update module, display module connection are collected, controls modules normal work for passing through single-chip microcontroller；
Economic data categorization module, connect with central control module, for the economic data by sort program to acquisition
Carry out sort operation；
Index identification module, connect with central control module, for being known by recognizer to economic data index
Not；
Correction module is connect with central control module, for being modified by economic data of the revision program to acquisition
Processing；
Editor module is connect with central control module, for being edited by economic data of the editing procedure to acquisition
Processing；
Update module is connect with central control module, for updating economic data by more new procedures；
Display module is connect with central control module, for the economic data information by display display acquisition.
Another object of the present invention is to provide the computer systems that economic management analysis data are used for described in a kind of execution
For economic management analysis data analysis method, it is described for economic management analysis data analysis method include following step
It is rapid:
The first step acquires the economic related data information to be analyzed issued in advance；
Second step is classified to the economic related data information of acquisition, and is stored；
Third step, the economic data that acquisition classification is completed carries out editing and processing, to the economic dependency number of categorized completion
It is identified according to information aggregate, processing is modified to the data in undesirable economic management；
4th step is acquired the economic relevant data information of processing at any time, the update of data is carried out to economic data library,
And pass through the economic data information using display display acquisition.
Further, the analysis method for economic management analysis data updates the warp in database by more new procedures
During data of helping, detailed process is as follows；
Step 1 handles the relevant data text of economy of acquisition according to certain order；
Step 2 after the access authority for obtaining setting, enters lower step and is handled；
Step 3 obtains access data and enters in database.
Further, the analysis method economic data classification for economic management analysis data is by sort program to adopting
The economic data of collection carries out sort operation, carries out data classification using following algorithm, detailed process is as follows:
The economic data sample of acquisition is established a set, puts back to ground at random from sample total set by step 1
Extract different classes of sample data composition training subset；
Step 2 establishes different decision trees to each different classes of sample data, so that it is random to form economic data
Forest obtains corresponding several classification results；
Step 3 decides by vote several classification results in a manner of voting；
Step 4 finally obtains classification results in a manner of voting.
Further, the analysis method for economic management analysis data is obtained in gathering economy related data information
The economic data text data to be analyzed issued in advance, carries out the identification of data characteristics, detailed process is as follows:
Step 1, firstly, establishing node deployment model according to the distribution situation and relation on attributes of the big data of magnanimity；
Step 2 effectively classifies to economic relevant data according to the nodal analysis method of foundation；
Step 3 carries out Data Revision to the data of classification using economic relevant model；
Step 4 obtains data characteristics, the economic data text to be analyzed issued in advance is obtained, at economic data style
Reason.
Further, the economic data style processing method of the analysis method for economic management analysis data is as follows:
(1) the economic data text to be analyzed issued in advance, the initial format of the economic data text to be analyzed are obtained
For portable document pdf format；
(2) by preset text conversion tool, by the text formatting of the economic data text to be analyzed by the pdf
Format is converted to document doc format；
(3) the economic data text to be analyzed based on the doc format obtains the economic data text to be analyzed
Corresponding text code；Wherein, the text code includes a plurality of types of page-tags；
(4) form tag in the page-tag, and the text position according to belonging to the form tag, positioning are searched
Table in the presence of the economic data text to be analyzed；
(5) it extracts and the associated each field value of the table and table description information；By the table description information
And each field value is exported to the text document being pre-created, so that operation system identifies the text document
After processing, financial data associated by the economic data text to be analyzed is obtained.
Another object of the present invention is to provide the analysis methods that economic management analysis data are used for described in a kind of application
Information data processing terminal.
Advantages of the present invention and good effect are as follows: the present invention is realized by data acquisition module to enterprise's financial data
Quickly analysis, avoids the need for reading enterprise's financial data based on the open file of complicated pattern, therefore reduces enterprise's finance
The acquisition difficulty of data；Since operation system can be included come all kinds of open files of automatic identification by above-mentioned text document
Financial data, for the prior art, the various dimensions for having also achieved financial data obtain effect；Meanwhile passing through index
Identification module is according to the multiple socio-economic indicator names for including in society and politics entity name and socio-economic indicator name set
Claim, socio-economic indicator item is generated from text collection to be identified according to presetting method, the socio-economic indicator item include the time,
Place name, socio-economic indicator title and socio-economic indicator value, to realize the society to text collection to be identified
The automatic identification of economic indicator has saved manpower, financial resource, while also greatly reducing needed for identification socio-economic indicator
Time.
The method that update module uses in the present invention is updated database, can improve the update speed of Computer Database
The safety of rate and operation, reliability.
Economic data categorization module, which is adopted this method, in the present invention carries out sort operation to the economic data of acquisition, can keep away
Exempt from overfitting occur during data classification, improves the reliability of data classification.
Data acquisition module obtains the economic number to be analyzed issued in advance in gathering economy related data information in the present invention
It during according to text data, needs to carry out the identification of data characteristics in mass network big data, in the process, establish
Corresponding node deployment model, can more accurately carry out the acquisition of data, improve the sensitivity to data characteristics,
It ensure that the speed of data characteristics acquisition.
Detailed description of the invention
Fig. 1 is the Computer Systems Organization schematic diagram provided in an embodiment of the present invention for economic management analysis data；
In figure: 1, data acquisition module；2, central control module；3, economic data categorization module；4, index identification module；
5, correction module；6, editor module；7, update module；8, display module.
Fig. 2 is the computer system economic management analysis side provided in an embodiment of the present invention for economic management analysis data
Method flow chart.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the computer system provided in an embodiment of the present invention for economic management analysis data includes: data
Acquisition module 1, central control module 2, economic data categorization module 3, index identification module 4, correction module 5, editor module 6,
Update module 7, display module 8.
Data acquisition module 1 is connect with central control module 2, is used for gathering economy related data information；
Central control module 2, with data acquisition module 1, economic data categorization module 3, index identification module 4, amendment mould
Block 5, editor module 6, update module 7, display module 8 connect, and work normally for controlling modules by single-chip microcontroller；
Economic data categorization module 3 is connect with central control module 2, for the economic number by sort program to acquisition
According to progress sort operation；
Index identification module 4 is connect with central control module 2, for being carried out by recognizer to economic data index
Identification；
Correction module 5 is connect with central control module 2, for being repaired by economic data of the revision program to acquisition
Positive processing；
Editor module 6 is connect with central control module 2, for being compiled by economic data of the editing procedure to acquisition
Collect processing；
Update module 7 is connect with central control module 2, for updating economic data by more new procedures；
Display module 8 is connect with central control module 2, for the economic data information by display display acquisition.
During the update module 7 is used to update the economic data in database by more new procedures, in order to improve
The renewal rate of Computer Database and safety, the reliability of operation, detailed process is as follows；
Step 1 handles the relevant data text of economy of acquisition according to certain order；
Step 2 after the access authority for obtaining setting, enters lower step and is handled；
Step 3 obtains access data and enters in database.
The economic data categorization module 3 carries out the process of sort operation by sort program to the economic data of acquisition
In, in order to avoid there is overfitting during data classification, the reliability of data classification is improved, using following algorithm
Data classification is carried out, detailed process is as follows:
The economic data sample of acquisition is established a set, puts back to ground at random from sample total set by step 1
Extract different classes of sample data composition training subset；
Step 2 establishes different decision trees to each different classes of sample data, so that it is random to form economic data
Forest obtains corresponding several classification results；
Step 3 decides by vote several classification results in a manner of voting；
Step 4 finally obtains classification results in a manner of voting.
The data acquisition module 1 obtains the economic data to be analyzed issued in advance in gathering economy related data information
During text data, need to carry out the identification of data characteristics, detailed process is as follows in mass network big data:
Step 1, firstly, establishing node deployment model according to the distribution situation and relation on attributes of the big data of magnanimity；
Step 2 effectively classifies to economic relevant data according to the nodal analysis method of foundation；
Step 3 carries out Data Revision to the data of classification using economic relevant model；
Step 4 obtains data characteristics, the economic data text to be analyzed issued in advance is obtained, at economic data style
Reason.
Economic data style processing method in the data acquisition module 1 is as follows:
(1) the economic data text to be analyzed issued in advance, the initial format of the economic data text to be analyzed are obtained
For portable document pdf format；
(2) by preset text conversion tool, by the text formatting of the economic data text to be analyzed by the pdf
Format is converted to document doc format；
(3) the economic data text to be analyzed based on the doc format obtains the economic data text to be analyzed
Corresponding text code；Wherein, the text code includes a plurality of types of page-tags；
(4) form tag in the page-tag, and the text position according to belonging to the form tag, positioning are searched
Table in the presence of the economic data text to be analyzed；
(5) it extracts and the associated each field value of the table and table description information；By the table description information
And each field value is exported to the text document being pre-created, so that operation system identifies the text document
After processing, financial data associated by the economic data text to be analyzed is obtained.
The form tag provided by the invention searched in the page-tag, and the text according to belonging to the form tag
Position positions the table in the presence of the economic data text to be analyzed, comprising:
Successively traverse each encoding block in the text code；
To each encoding block, judge whether page-tag type corresponding to the encoding block is form types；
If page-tag type corresponding to the encoding block is form types, the attribute value of built-in flag bit is set to and is patrolled
True value is collected, text position corresponding to the encoding block is labeled as to the initial position of table；
It returns and executes the operation for successively traversing each encoding block in the text code, until the encoding block taken out
When corresponding page-tag type is non-form types and is non-null value, text position corresponding to the encoding block is labeled as
The end position of the table.
Extraction provided by the invention and the associated each field value of the table and table description information, comprising:
Create fifo fifo queue；
Each encoding block in the text code is successively traversed, and is obtained corresponding to the encoding block currently traversed
Page-tag type；
If page-tag type corresponding to the encoding block be Segment type, by the encoding block included it is each
Character is sequentially stored in the fifo queue, and reads the real-time queue length of the fifo queue；
If the real-time queue length of the fifo queue is greater than preset threshold, removal is present in the more of fifo queue bottom
A character, and return and execute each encoding block successively traversed in the text code, and obtain and currently traversed
The encoding block corresponding to page-tag type operation；
If page-tag type corresponding to the encoding block is form types, by each word in the fifo queue
Symbol is spliced, and is and the associated table description information of the table by splicing result output.
4 recognition methods of index identification module provided by the invention is as follows:
1) text collection to be identified is obtained, the text collection includes multiple texts；
2) society and politics entity name to be identified is obtained；
3) according to the society and politics entity name and default socio-economic indicator syntactic pattern, from the text collection
In, obtain multiple socio-economic indicator titles to be filtered；
4) according to socio-economic indicator title suffix vocabulary is preset, to the multiple socio-economic indicator title to be filtered
It is screened, obtains socio-economic indicator name set, the socio-economic indicator name in the socio-economic indicator name set
Claim to include any socio-economic indicator title suffix in the default socio-economic indicator title suffix vocabulary；
5) multiple first texts are obtained from the text collection, first text includes the society and politics physical name
Any socio-economic indicator title in title and the socio-economic indicator name set；
6) from the multiple first text, multiple first place names are obtained, each first place name is default ground
Place name in point name set；From the multiple first text, multiple first times are obtained；From the multiple first text
In this, multiple first numeral-classifier compound are obtained；For each first text, the socio-economic indicator item of first text, institute are generated
The socio-economic indicator item for stating the first text includes the first place name, first time, the first numeral-classifier compound of first text
And the socio-economic indicator title in first text.
It is provided by the invention to obtain multiple first place names and include:
For each first text, if in first text including multiple second place names, from the multiple the
In two place names, second place name nearest with the socio-economic indicator title distance in first text is retrieved as
First place name of first text.
It is provided by the invention to obtain multiple first times and include:
For each first text, if in first text including multiple second times, when from the multiple second
Between in, the second time that will be nearest with the socio-economic indicator title distance in first text be retrieved as first text
First time.
As shown in Fig. 2, the computer system economic management provided in an embodiment of the present invention for economic management analysis data
Analysis method, comprising the following steps:
S101: the economic related data information to be analyzed that acquisition is issued in advance；
S102: classify to the economic related data information of acquisition, and stored；
S103: the economic data that acquisition classification is completed carries out editing and processing, to the economic related data of categorized completion
Information aggregate is identified, is modified processing to the data in undesirable economic management；
S104: being acquired the economic relevant data information of processing at any time, the update of data carried out to economic data library, and
And pass through the economic data information using display display acquisition.
When the invention works, firstly, passing through 1 gathering economy related data information of data acquisition module；Secondly, center control
Module 2 carries out sort operation using economic data of the sort program to acquisition by economic data categorization module 3；Known by index
Other module 4 identifies economic data index using recognizer；By correction module 5 using revision program to the warp of acquisition
Ji data are modified processing；Editing and processing is carried out using economic data of the editing procedure to acquisition by editor module 6；So
Afterwards, economic data is updated using more new procedures by update module 7；Finally, utilizing display display acquisition by display module 8
Economic data information.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (7)
1. a kind of computer system for economic management analysis data, which is characterized in that described to analyze number for economic management
According to computer system include:
Data acquisition module is connect with central control module, is used for gathering economy related data information；
Central control module, with data acquisition module, economic data categorization module, index identification module, correction module, Bian Jimo
Block, update module, display module connection, work normally for controlling modules by single-chip microcontroller；
Economic data categorization module, connect with central control module, for being carried out by economic data of the sort program to acquisition
Sort operation；
Index identification module, connect with central control module, for being identified by recognizer to economic data index；
Correction module is connect with central control module, for being modified processing by economic data of the revision program to acquisition；
Editor module is connect with central control module, for carrying out editing and processing by economic data of the editing procedure to acquisition；
Update module is connect with central control module, for updating economic data by more new procedures；
Display module is connect with central control module, for the economic data information by display display acquisition.
2. a kind of perform claim requires analyzing for economic management for 1 computer system for economic management analysis data
The analysis method of data, which is characterized in that it is described for economic management analysis data analysis method the following steps are included:
The first step acquires the economic related data information to be analyzed issued in advance；
Second step is classified to the economic related data information of acquisition, and is stored；
Third step, the economic data that acquisition classification is completed carry out editing and processing, economic dependency number to categorized completion it is believed that
Breath set is identified, is modified processing to the data in undesirable economic management；
4th step is acquired the economic relevant data information of processing at any time, the update of data is carried out to economic data library, and
Pass through the economic data information using display display acquisition.
3. the analysis method for economic management analysis data as claimed in claim 2, which is characterized in that described for economy
During the analysis method of administrative analysis data updates the economic data in database by more new procedures, detailed process is such as
Under；
Step 1 handles the relevant data text of economy of acquisition according to certain order；
Step 2 after the access authority for obtaining setting, enters lower step and is handled；
Step 3 obtains access data and enters in database.
4. the analysis method for economic management analysis data as claimed in claim 2, which is characterized in that described for economy
The analysis method economic data classification of administrative analysis data carries out sort operation by economic data of the sort program to acquisition, adopts
Data classification is carried out with following algorithm, detailed process is as follows:
The economic data sample of acquisition is established a set, extracted with putting back at random from sample total set by step 1
Different classes of sample data forms training subset；
Step 2 establishes different decision trees to each different classes of sample data, so that economic data random forest is formed,
Obtain corresponding several classification results；
Step 3 decides by vote several classification results in a manner of voting；
Step 4 finally obtains classification results in a manner of voting.
5. the analysis method for economic management analysis data as claimed in claim 2, which is characterized in that described for economy
The analysis method of administrative analysis data obtains the economic data text to be analyzed issued in advance in gathering economy related data information
Data carry out the identification of data characteristics, and detailed process is as follows:
Step 1, firstly, establishing node deployment model according to the distribution situation and relation on attributes of the big data of magnanimity；
Step 2 effectively classifies to economic relevant data according to the nodal analysis method of foundation；
Step 3 carries out Data Revision to the data of classification using economic relevant model；
Step 4 obtains data characteristics, obtains the economic data text to be analyzed issued in advance, to the processing of economic data style.
6. the analysis method for economic management analysis data as claimed in claim 2, which is characterized in that described for economy
The economic data style processing method of the analysis method of administrative analysis data is as follows:
(1) the economic data text to be analyzed issued in advance is obtained, the initial format of the economic data text to be analyzed is can
Transplant document pdf format；
(2) by preset text conversion tool, by the text formatting of the economic data text to be analyzed by the pdf format
Be converted to document doc format；
(3) it is right to obtain the economic data text institute to be analyzed for the economic data text to be analyzed based on the doc format
The text code answered；Wherein, the text code includes a plurality of types of page-tags；
(4) form tag in the page-tag, and the text position according to belonging to the form tag are searched, described in positioning
Table in the presence of economic data text to be analyzed；
(5) it extracts and the associated each field value of the table and table description information；By the table description information and
Each field value is exported to the text document being pre-created, so that operation system carries out identifying processing to the text document
Afterwards, financial data associated by the economic data text to be analyzed is obtained.
7. a kind of Information Number using the analysis method for being used for economic management analysis data described in claim 2~6 any one
According to processing terminal.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150006243A1 (en) * | 2013-06-28 | 2015-01-01 | AZAPA R&D Americas, Inc. | Digital information gathering and analyzing method and apparatus |
| CN105573984A (en) * | 2015-12-18 | 2016-05-11 | 小米科技有限责任公司 | Socio-economic indicator identification method and device |
| CN106570624A (en) * | 2016-10-26 | 2017-04-19 | 东北电力大学 | Economy management system |
| CN108596436A (en) * | 2018-03-28 | 2018-09-28 | 郑州铁路职业技术学院 | Computer based economic indicator monitors analysis method in real time |
| CN109062874A (en) * | 2018-06-12 | 2018-12-21 | 平安科技（深圳）有限公司 | Acquisition methods, terminal device and the medium of financial data |
-
2019
- 2019-06-27 CN CN201910564954.8A patent/CN110297905A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150006243A1 (en) * | 2013-06-28 | 2015-01-01 | AZAPA R&D Americas, Inc. | Digital information gathering and analyzing method and apparatus |
| CN105573984A (en) * | 2015-12-18 | 2016-05-11 | 小米科技有限责任公司 | Socio-economic indicator identification method and device |
| CN106570624A (en) * | 2016-10-26 | 2017-04-19 | 东北电力大学 | Economy management system |
| CN108596436A (en) * | 2018-03-28 | 2018-09-28 | 郑州铁路职业技术学院 | Computer based economic indicator monitors analysis method in real time |
| CN109062874A (en) * | 2018-06-12 | 2018-12-21 | 平安科技（深圳）有限公司 | Acquisition methods, terminal device and the medium of financial data |
Non-Patent Citations (1)
| Title |
|---|
| 段莹: "四川省宏观经济信息数据库系统总体方案设计", 《中国优秀硕士学位论文全文数据库-信息科技辑》 * |
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Application publication date: 20191001 |