CN109558463A - A kind of data processing method of intelligent report forms, device and storage medium - Google Patents
A kind of data processing method of intelligent report forms, device and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of data processing method of intelligent report forms, device and storage mediums, which comprises according to report template, setting access range and parameter；According to the access range and the parameter, data search is carried out using Distributed engine and natural processing technique, using cosine similarity algorithm and personalized recommendation algorithm, the data of search are subjected to the comprehensive operation of matching degree by various dimensions, and initial report is recommended to according to the fitness of data from high to low；Secondary treatment is carried out to the data of the initial report and obtains target report to screen out the data that identification is close or identification is low.The present invention can be improved the identification of report data, resource needed for quickly positioning user, to improve the working efficiency and efficiency of user.
Description
Technical field
The present invention relates to intelligent report forms technical field more particularly to a kind of data processing method of intelligent report forms, device and
Storage medium.
Background technique
At present in government unit, there is a large amount of Excel report data from each budget entity or department, standardized due to lacking
Property and structuring support, in these reports carry out data extraction needs to do a large amount of manual identified, lead to manpower and material resources
The waste of resource.And most of Vehicles Collected from Market mainstream report is all based on structural data, inquiry for statistical analysis can not
Effectively solve the above problems.
Summary of the invention
The technical problem to be solved by the embodiment of the invention is that providing a kind of data processing method of intelligent report forms, dress
It sets and storage medium, can be improved the identification of report data, resource needed for quickly positioning user, to improve the work of user
Efficiency and efficiency.
To solve the above problems, a kind of data processing method for intelligent report forms that one embodiment of the present of invention provides, packet
It includes:
According to report template, setting access range and parameter；
According to the access range and the parameter, data search is carried out using Distributed engine and natural processing technique；
Using cosine similarity algorithm and personalized recommendation algorithm, the data of search are subjected to matching degree synthesis by various dimensions
Operation, and initial report is recommended to according to the fitness of data from high to low；
Secondary treatment is carried out to the data of the initial report to obtain to screen out the data that identification is close or identification is low
To target report.
Further, the secondary treatment refers to through manual intervention mode is close to mark degree or identification is low data
It is screened.
Further, it is described obtain target report after, further includes:
Automatically the target report is stored in big data warehouse.
Further, described according to report template, setting is fetched before range and parameter, further includes:
The demand data of user is obtained, and report template is generated according to the demand data.
Further, it is described obtain user demand data, and according to the demand data generate report template before,
Further include:
Initial data is acquired, and the initial data is pre-processed, obtains structuring initial data；
Extraction of semantics is carried out according to the structure of the structuring initial data, obtains data feature values；
According to the data feature values, the data dismantling of different dimensions is carried out, characteristic value data item is obtained；
According to the characteristic value data item, data scrubbing is carried out, obtains characteristic target value, and the characteristic target value is pressed
Dimension storage is set to big data warehouse.
Another embodiment of the invention additionally provides a kind of data processing equipment of intelligent report forms, comprising:
Parameter setting module, for according to report template, setting access range and parameter；
Search module is used for according to the access range and the parameter, using Distributed engine and natural processing technique
Carry out data search；
The data of search are pressed various dimensions for using cosine similarity algorithm and personalized recommendation algorithm by recommending module
The comprehensive operation of matching degree is carried out, and initial report is recommended to according to the fitness of data from high to low；
Secondary treatment module, for the initial report data carry out secondary treatment, with screen out identification it is close or
The low data of identification, obtain target report.
Further, the secondary treatment refers to through manual intervention mode is close to mark degree or identification is low data
It is screened.
Further, the data processing equipment of the intelligent report forms, further includes:
Memory module, for the target report to be stored in big data warehouse automatically.
Further, the data processing equipment of the intelligent report forms, further includes:
Customized module generates report template for obtaining the demand data of user, and according to the demand data.
Another embodiment of the invention additionally provides a kind of computer readable storage medium, the computer-readable storage
Medium includes the computer program of storage, wherein controls the computer-readable storage medium in computer program operation
Equipment executes the data processing method such as above-mentioned intelligent report forms where matter.
Compared with the prior art, the beneficial effect of the embodiment of the present invention is:
A kind of data processing method of intelligent report forms, device disclosed in the embodiment of the present invention and storage medium, using big
Data and distributed search engine+natural language processing+cosine similarity algorithm+personalized recommendation are calculated, and it is original to complete client
Non-structured data mart modeling, search, improve the identification of data, and resource needed for quick location client improves data valence
Value, improves the working efficiency and efficiency of client.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the data processing method for intelligent report forms that the embodiment of the present invention provides；
Fig. 2 is a kind of another flow diagram of the data processing method for intelligent report forms that the embodiment of the present invention provides；
Fig. 3 is a kind of another flow diagram of the data processing method for intelligent report forms that the embodiment of the present invention provides；
Fig. 4 is a kind of structural schematic diagram of the data processing equipment for intelligent report forms that the embodiment of the present invention provides；
Fig. 5 is a kind of another structural schematic diagram of the data processing equipment for intelligent report forms that the embodiment of the present invention provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It should be noted that the serial number explanation merely for convenience before each step of embodiment, is not to be construed as to each
The restriction of step execution sequence.
Please refer to Fig. 1-3.
On the one hand, as shown in Figs. 1-2, a kind of data processing method of intelligent report forms, comprising:
S11, according to report template, setting access range and parameter.
Described according to report template, setting is fetched before range and parameter, further includes:
S10, the demand data for obtaining user, and report template is generated according to the demand data.
In specific embodiment, client can meet itself according to the customized export report template of specification, i.e. customization
It is required that personalized report template.
S12, according to the access range and the parameter, data are carried out using Distributed engine and natural processing technique and are searched
Rope.
In specific embodiment, firstly, realizing the structuring of data using big data and distributed search engine
Processing, solves the performance issue of data search；Secondly, being asked using the matching that natural language processing technique solves business entry
Topic allows big data report search condition and range reduce according to entry the range of search.
S13, using cosine similarity algorithm and personalized recommendation algorithm, the data of search are subjected to matching degree by various dimensions
Comprehensive operation, and initial report is recommended to according to the fitness of data from high to low.
In specific embodiment, in conjunction with the customized semantic participle of system, intelligent search and recommending data.System uses
Multiple technologies combination realizes the functions such as the processing, storage and search matching of report data.
S14, secondary treatment is carried out to the data of the initial report, to screen out the number that identification is close or identification is low
According to obtaining target report.
Wherein, the secondary treatment refers to and is carried out by the data that manual intervention mode is close to mark degree or identification is low
Screening.
In specific embodiment, client by system intelligently fetch, obtain intelligent report forms recommendation data, then into
Row secondary treatment, makes data be optimal effect.
It is described obtain target report after, further includes:
S15, the target report is stored in big data warehouse automatically.
Client obtains the target report of final result by system, and the data of the target report directly form structuring number
Big data warehouse is arrived according to storage, so that client recycles.
The present embodiment uses big data and distributed search engine+natural language processing+cosine similarity algorithm+personalization
Recommend to calculate, completes the original non-structured data mart modeling of client, search, improve the identification of data, quick location client
Required resource, improves data value, improves the working efficiency and efficiency of client.
For " big data " (Big data), research institution Gartner gives such definition." big data " is desirable
New tupe could have stronger decision edge, see clearly discovery power and process optimization ability adapt to magnanimity, high growth rate and
Diversified information assets.
The whole world Mai Kenxi research given a definition that is: a kind of scale arrives greatly big in terms of acquisition, storage, management, analysis
The data acquisition system for having exceeded traditional database software means capability range greatly, data scale, quick data flow with magnanimity
Turn, the data type and the low four big feature of value density of multiplicity.
The strategic importance of big data technology, which is not lain in, grasps huge data information, and is to these containing significant number
According to progress specialized process.In other words, if big data is compared to a kind of industry, this industry realizes the pass of profit
Key is to improve " working ability " to data, pass through " increment " of " processing " realization data.
For distributed search engine, distributed search engine is marked according to region, theme, IP address and other divide
The whole network is divided into several autonomous areas, the device of a retrieval server is set up in each autonomous area by standard.
Information search robot is responsible for the information search in this autonomous area, and establishes index information deposit index data
Library.Agency is responsible for providing a user query interface, and is interchangeable with other agencies, realizes that the information between retrieval server is handed over
It changes, and inquiry can redirect, i.e., if an index data base does not meet query requirement, it can be sent inquiry request
Onto other retrieval servers.
For natural language processing technique, natural language processing is one in computer science and artificial intelligence field
A important directions.It studies and is able to achieve the various theory and methods for carrying out efficient communication between people and computer with natural language.
Natural language processing is one and melts linguistics, computer science, mathematics in the science of one.Therefore, the research in this field will
Be related to natural language, i.e. people's language used in everyday, thus it with it is philological research have it is close contact, but have weight
The difference wanted.Natural language processing is not generally to study natural language, and natural language can be effectively realized by being to develop
The computer system of communication, software systems especially therein.Thus it is a part of computer science.Natural language processing
It is computer science, artificial intelligence, the field of the interaction between linguistics concern computer and the mankind (nature) language.
It for cosine similarity, also known as cosine similarity, is assessed by calculating the included angle cosine value of two vectors
Their similarity.Vector according to coordinate value, is plotted in vector space by cosine similarity, such as the most common two-dimensional space.
By vector according to coordinate value, it is plotted in vector space.Such as the most common two-dimensional space.Their angle is acquired, and obtains folder
The corresponding cosine value in angle, this cosine value can be used to characterize, the similitude of the two vectors.Angle is smaller, and cosine value more connects
It is bordering on 1, their direction more coincide, then more similar.Similitude.Angle is smaller, and cosine value is closer to 1, their direction
More coincide, then it is more similar.
For personalized recommendation algorithm, proposed algorithm is one of computer major algorithm, by some mathematical algorithms,
The thing that user may like is deduced, is mainly at present network using the relatively good place of proposed algorithm, wherein Taobao does
It is relatively good.So-called proposed algorithm is exactly some behaviors using user, passes through some mathematical algorithms, thus it is speculated that going out user may like
Thing.
Since various proposed algorithm methods have advantage and disadvantage, so in practice, combined recommendation (Hybrid
Ecommendation it) is often used.Research and application it is most be commending contents and collaborative filtering recommending combination.It is most simple
Single way be exactly respectively with based on content method and collaborative filtering recommending method go to generate a recommendation prediction result, then
Its result is combined with certain method.Although theoretically in a certain particular problem and loseing there are many kinds of combined method is recommended
Must be all effective, one most important principle of combined recommendation is exactly by be avoided that or make up the weak of respective recommended technology after combination
Point.In combination, there is researcher to propose seven kinds of combination thinkings:
1) it weights (Weight): weighting a variety of recommended technology results.
2) it converts (Switch): according to Question background and actual conditions or requiring to determine that transformation uses different recommendation skills
Art.
3) (Mixed) is mixed: while using a variety of recommended technologies to provide a variety of recommendation results and providing reference for user.
4) feature combination (Feature combination): feature of the combination from different recommending data sources is another
Proposed algorithm is used.
5) (Cascade) is laminated: first generates a kind of coarse recommendation results, second of recommended technology with a kind of recommended technology
More accurate recommendation is further made on the basis of this recommendation results.
6) feature expands (Feature augmentation): a kind of additional characteristic information of technology generation is embedded into another
In the feature input of kind recommended technology.
7) first rank (Meta-level): use a kind of model of recommended method generation as the defeated of another recommended method
Enter.
On the other hand, it as shown in figure 3, in the demand data for obtaining user, and is generated and is reported according to the demand data
Before table template, further includes:
S01, acquisition initial data, and the initial data is pre-processed, obtain structuring initial data.
S02, extraction of semantics is carried out according to the structure of the structuring initial data, obtains data feature values.
S03, according to the data feature values, carry out the data dismantling of different dimensions, obtain characteristic value data item.
S04, according to the characteristic value data item, carry out data scrubbing, obtain characteristic target value, and by the characteristic target
Value is by setting dimension storage to big data warehouse.
In specific embodiment, big data intelligent report system is mainly torn open by data acquisition, structural analysis, intelligence
Solution, target making, intelligence access, secondary treatment, generates 8 links of report at cleaning storage, realizes largely non-structural to client
Change intelligence decomposition, quick storage and the intelligent extraction of data.
Another embodiment of the invention additionally provides a kind of data processing equipment of intelligent report forms, comprising:
Parameter setting module 21, for according to report template, setting access range and parameter；
Search module 22 is used for according to the access range and the parameter, using Distributed engine and processing skill naturally
Art carries out data search；
The data of search are pressed multidimensional for using cosine similarity algorithm and personalized recommendation algorithm by recommending module 23
Degree carries out the comprehensive operation of matching degree, and recommends to initial report from high to low according to the fitness of data；
Secondary treatment module 24 carries out secondary treatment for the data to the initial report, close to screen out identification
Or the data that identification is low, obtain target report.
Further, the secondary treatment refers to through manual intervention mode is close to mark degree or identification is low data
It is screened.
Further, the data processing equipment of the intelligent report forms, further includes:
Memory module 25, for the target report to be stored in big data warehouse automatically.
Further, the data processing equipment of the intelligent report forms, further includes:
Customized module 20 generates report template for obtaining the demand data of user, and according to the demand data.
In specific embodiment, the data processing equipment of intelligent report forms mainly passes through data acquisition, structural analysis, intelligence
Dismantling, cleaning storage, target making, intelligence access, secondary treatment, generation 8 links of report, realize to a large amount of non-knot of client
Intelligence decomposition, quick storage and the intelligent extraction of structure data.
Data acquisition: acquisition initial data, and the initial data is tentatively combed according to system standard specifications, it obtains
To structuring initial data；
Structural analysis: extraction of semantics is carried out according to the structure of the structuring initial data, obtains data feature values；
Intelligence dismantling: according to data feature values are obtained, by different dimensions, data dismantling is carried out, characteristic value data is obtained
?；
Cleaning storage: according to characteristic value data item, carrying out data scrubbing, obtains characteristic target value, and deposit by setting dimension
Store up big data warehouse；
Target making: pressing customer demand, formulates export report template.
Intelligence access: the template formulated according to client, setting access range and parameter, using search engine, natural language
Processing, cosine similarity algorithm, personalized recommendation algorithm obtain derived target report.
Secondary treatment: being closer to identification by manual intervention mode or the lower data of identification are screened；
It generates report: after secondary treatment, obtaining final goal data sheet.
Compared with the prior art, the beneficial effect of the present embodiment is, using big data and distributed search engine+nature
Language Processing+cosine similarity algorithm+personalized recommendation is calculated, and is completed the original non-structured data mart modeling of client, search, is mentioned
The high identification of data, resource needed for quick location client, improves data value, improves the working efficiency and effect of client
Energy.
Another embodiment of the invention additionally provides a kind of computer readable storage medium, the computer-readable storage
Medium includes the computer program of storage, wherein controls the computer-readable storage medium in computer program operation
Equipment executes the data processing method such as above-mentioned intelligent report forms where matter.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principle of the present invention, several improvement and deformations can also be made, these improvement and deformations are also considered as
Protection scope of the present invention.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (10)
1. a kind of data processing method of intelligent report forms characterized by comprising
According to report template, setting access range and parameter；
According to the access range and the parameter, data search is carried out using Distributed engine and natural processing technique；
Using cosine similarity algorithm and personalized recommendation algorithm, the data of search are subjected to the comprehensive fortune of matching degree by various dimensions
It calculates, and initial report is recommended to according to the fitness of data from high to low；
Secondary treatment is carried out to the data of the initial report and obtains mesh to screen out the data that identification is close or identification is low
Mark report.
2. the data processing method of intelligent report forms according to claim 1, which is characterized in that the secondary treatment refers to logical
The data that artificial means of intervention is close to mark degree or identification is low are crossed to screen.
3. the data processing method of intelligent report forms according to claim 1, which is characterized in that obtain target report described
Later, further includes:
Automatically the target report is stored in big data warehouse.
4. the data processing method of intelligent report forms according to claim 1, which is characterized in that described according to report mould
Plate, setting are fetched before range and parameter, further includes:
The demand data of user is obtained, and report template is generated according to the demand data.
5. the data processing method of intelligent report forms according to claim 4, which is characterized in that in the need for obtaining user
Seek data, and before generating report template according to the demand data, further includes:
Initial data is acquired, and the initial data is pre-processed, obtains structuring initial data；
Extraction of semantics is carried out according to the structure of the structuring initial data, obtains data feature values；
According to the data feature values, the data dismantling of different dimensions is carried out, characteristic value data item is obtained；
According to the characteristic value data item, data scrubbing is carried out, obtains characteristic target value, and by the characteristic target value by setting
Dimension is stored to big data warehouse.
6. a kind of data processing equipment of intelligent report forms characterized by comprising
Parameter setting module, for according to report template, setting access range and parameter；
Search module, for being carried out using Distributed engine and natural processing technique according to the access range and the parameter
Data search；
Recommending module is carried out the data of search by various dimensions for using cosine similarity algorithm and personalized recommendation algorithm
Matching degree integrates operation, and recommends to initial report from high to low according to the fitness of data；
Secondary treatment module, for the initial report data carry out secondary treatment, with screen out identification it is close or identification
Low data are spent, target report is obtained.
7. the data processing equipment of intelligent report forms according to claim 6, which is characterized in that the secondary treatment refers to logical
The data that artificial means of intervention is close to mark degree or identification is low are crossed to screen.
8. the data processing equipment of intelligent report forms according to claim 6, which is characterized in that further include:
Memory module, for the target report to be stored in big data warehouse automatically.
9. the data processing equipment of intelligent report forms according to claim 6, which is characterized in that further include:
Customized module generates report template for obtaining the demand data of user, and according to the demand data.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit requires the data processing method of 1 to 5 described in any item intelligent report forms.
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| CN109558463B (en) | 2023-01-03 |
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