CN109410069A - Settlement data processing method, device, computer equipment and storage medium - Google Patents
Settlement data processing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of settlement data processing method, device, computer equipment and storage mediums based on big data analysis.This method comprises: obtain multiple initial clearing catalogues, initial catalogue of settling accounts includes multiple to settlement data and corresponding multiple fields to be settled accounts；Authority data table is obtained, field to be settled accounts normative field corresponding with regular-way settlement data in authority data table is matched；When wait settle accounts field it is consistent with normative field when, add corresponding clearing attribute and classification to settlement data to consistent；When settling accounts field and normative field is inconsistent, generated to settlement data to decision settlement data according to inconsistent.Decision model is obtained, decision settlement data is treated according to decision model and carries out decision, obtained clearing attribute and classification are added to in decision settlement data；And project is generated according to classification and settles accounts catalogue；Catalogue, which is settled accounts, according to project carries out project settlement process.The efficiency handled settlement data can be effectively improved using this method.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of settlement data processing side based on big data analysis
Method, device, computer equipment and storage medium.
Background technique
With the rapid development of Internet technology, various clearing projects are settled accounts also increasingly using Internet technology
It is convenient.Such as social insurance data and Medicare data are settled accounts it is very convenient.It is handled using Internet technology various
Settlement data can effectively improve the treatment effeciency of settlement data.
It is generally only to settle accounts catalogue according to the social insurance of conventional routines to be tied in traditional insurance clearing form
It calculates.And traditional clearing Directory Scope compares restriction, the settlement data in the clearing catalogue in each place is irregular, does not unite
One.Cause to exist and some for example count when being docked and being settled accounts with the clearing project of each mechanism using clearing catalogue
Calculation amount is complicated, between clearing project conversion than it is relatively time-consuming the problems such as, and then cause the efficiency handled according to clearing catalogue and
Accuracy rate is relatively low.Therefore, how to effectively improve becomes the current technical issues that need to address to the treatment effeciency of settlement data.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide one kind and can effectively improve and handle settlement data
Efficiency settlement data processing method, device, computer equipment and storage medium.
A kind of settlement data processing method, comprising:
Obtain multiple initial clearing catalogues, the initial clearing catalogue include it is multiple to settlement data and it is corresponding it is multiple to
Settle accounts field；
Authority data table is obtained, includes regular-way settlement data and corresponding multiple normative fields in the authority data table,
The regular-way settlement data setting has clearing attribute and classification；
The field to be settled accounts is matched with the normative field；
When it is described wait settle accounts field it is consistent with the normative field when, it is determined that it is corresponding wait tie with the field to be settled accounts
It counts according to being regular-way settlement data, the clearing attribute of the corresponding regular-way settlement data setting of the normative field and classification is added
It adds to described to settlement data；
When it is described wait settle accounts field and the normative field it is inconsistent when, it is determined that it is corresponding with the field to be settled accounts to
Settlement data is settlement data lack of standardization, is generated to settlement data to decision settlement data according to lack of standardization, obtains decision model,
Decision is carried out to decision settlement data to described according to the decision model, is obtained described to the corresponding clearing of decision settlement data
Attribute and classification, and be added to described in decision settlement data；
Project, which is generated, according to the classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to the project carries out project settlement process.
It is described in one of the embodiments, that match with the normative field by the field to be settled accounts include: to obtain
Take semantic matches model, include multiple regular-way settlement data and corresponding multiple normative fields in the semantic matches model to
Amount；It extracts described to the corresponding field vector of fields to be settled accounts multiple in settlement data；It will be described corresponding to settlement data
Field vector multiple normative field vectors corresponding with multiple regular-way settlement data are matched.
The acquisition decision model in one of the embodiments, is settled accounts to described to decision according to the decision model
Data carry out decision, comprising: extract described to the corresponding multiple field vectors of decision settlement data；It described will be settled accounts to decision
The corresponding multiple field vectors of data are input to decision model, and are traversed according to the node sequence of the decision model；Root
It is described to the corresponding clearing attribute of decision settlement data and classification according to decision model output.
In one of the embodiments, before the acquisition decision model, further includes: obtain more in multiple databases
A settlement data, the settlement data include multiple field names and corresponding field value；To the field name of the settlement data into
Row probability analysis obtains the priority probability of each field name；Field name is carried out according to the priority probability of the field name
Priority ranking；Multiple settlement datas and clearing attribute are trained according to the field name of the settlement data and corresponding field value
Incidence relation between corresponding classification；According to the field name after the priority ranking and settlement data and clearing after training
Incidence relation between attribute and classification constructs decision tree, and generates decision model according to the decision tree.
In one of the embodiments, the method also includes: obtain multiple update settlement datas, number is settled accounts in the update
Attribute and classification are settled accounts according to being set with；According to the incidence relation for updating and receiving between the corresponding clearing attribute of data and classification
The decision model is optimized.
In one of the embodiments, in the settlement data according to after multiple addition clearing attributes and classification according to institute
State classification generate project clearing catalogue after, further includes: according to the clearing attribute of the settlement data and classification to the clearing
Data are ranked up；The settlement data after sequence is encoded according to predetermined manner；Clearing catalogue after coding is deposited
Storage.
A kind of settlement data processing unit, comprising:
Module is obtained, for obtaining multiple initial clearing catalogues, the initial clearing catalogue includes multiple to settlement data
With corresponding multiple fields to be settled accounts；Settlement data table is obtained, includes regular-way settlement data and correspondence in the settlement data table
Multiple normative fields, the regular-way settlement data setting has clearing attribute and classification；
Matching module, for the field to be settled accounts to be compared with the normative field；When the field to be settled accounts
When consistent with the normative field, it is determined that it is corresponding with the field to be settled accounts to settlement data be regular-way settlement data, will
The clearing attribute and classification of the corresponding regular-way settlement data setting of the normative field are added to described to settlement data；
Decision-making module, for when it is described wait settle accounts field and the normative field it is inconsistent when, it is determined that with described wait tie
Calculate field it is corresponding to settlement data be settlement data lack of standardization, according to it is lack of standardization to settlement data generate non-standard settle accounts number
According to acquisition decision model carries out decision to the non-standard settlement data according to the decision model, obtains the non-standard knot
It counts according to corresponding clearing attribute and classification, and is added in the non-standard settlement data；
Catalog generation module, for raw according to the classification according to the settlement data after multiple addition clearing attributes and classification
Catalogue is settled accounts at project；
Catalogue processing module carries out project settlement process for settling accounts catalogue according to the project.
In one embodiment, the decision-making module is also used to extract field information pair in the non-standard settlement data
The field vector answered；The field vector of the non-standard settlement data is input to decision model, and according to the decision model
Node sequence traversed；The corresponding clearing attribute of the non-standard settlement data and class are exported according to the decision model
Not.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Obtain multiple initial clearing catalogues, the initial clearing catalogue include it is multiple to settlement data and it is corresponding it is multiple to
Settle accounts field；
Authority data table is obtained, includes regular-way settlement data and corresponding multiple normative fields in the authority data table,
The regular-way settlement data setting has clearing attribute and classification；
The field to be settled accounts is matched with the normative field；
When it is described wait settle accounts field it is consistent with the normative field when, it is determined that it is corresponding wait tie with the field to be settled accounts
It counts according to being regular-way settlement data, the clearing attribute of the corresponding regular-way settlement data setting of the normative field and classification is added
It adds to described to settlement data；
When it is described wait settle accounts field and the normative field it is inconsistent when, it is determined that it is corresponding with the field to be settled accounts to
Settlement data is settlement data lack of standardization, is generated to settlement data to decision settlement data according to lack of standardization, obtains decision model,
Decision is carried out to decision settlement data to described according to the decision model, is obtained described to the corresponding clearing of decision settlement data
Attribute and classification, and be added to described in decision settlement data；
Project, which is generated, according to the classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to the project carries out project settlement process.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain multiple initial clearing catalogues, the initial clearing catalogue include it is multiple to settlement data and it is corresponding it is multiple to
Settle accounts field；
Authority data table is obtained, includes regular-way settlement data and corresponding multiple normative fields in the authority data table,
The regular-way settlement data setting has clearing attribute and classification；
The field to be settled accounts is matched with the normative field；
When it is described wait settle accounts field it is consistent with the normative field when, it is determined that it is corresponding wait tie with the field to be settled accounts
It counts according to being regular-way settlement data, the clearing attribute of the corresponding regular-way settlement data setting of the normative field and classification is added
It adds to described to settlement data；
When it is described wait settle accounts field and the normative field it is inconsistent when, it is determined that it is corresponding with the field to be settled accounts to
Settlement data is settlement data lack of standardization, is generated to settlement data to decision settlement data according to lack of standardization, obtains decision model,
Decision is carried out to decision settlement data to described according to the decision model, is obtained described to the corresponding clearing of decision settlement data
Attribute and classification, and be added to described in decision settlement data；
Project, which is generated, according to the classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to the project carries out project settlement process.
Above-mentioned settlement data processing method, device, computer equipment and storage medium, server obtain multiple initial clearing
Catalogue, initial catalogue of settling accounts includes multiple to settlement data and corresponding multiple fields to be settled accounts.Server obtains authority data
Table, includes regular-way settlement data and corresponding multiple normative fields in authority data table, and regular-way settlement data setting has clearing to belong to
Property and classification.Server matches field to be settled accounts with normative field, when wait settle accounts field it is consistent with normative field when, then
Determine it is corresponding with field to be settled accounts to settlement data be regular-way settlement data, by the corresponding regular-way settlement data of normative field
The clearing attribute and classification of setting are added to settlement data.When settling accounts field and normative field is inconsistent, it is determined that with
Field to be settled accounts it is corresponding to settlement data be settlement data lack of standardization, according to it is lack of standardization to settlement data generate to decision settle accounts
Data.Server obtains decision model in turn, carries out decision by treating decision settlement data according to decision model, obtains co-pending
The corresponding clearing attribute of plan settlement data and classification, and be added to in decision settlement data.Server is tied according to multiple additions
Settlement data after calculating attribute and classification generates project according to classification and settles accounts catalogue, carries out it is possible thereby to settle accounts catalogue according to project
Project settlement process.By the way that the settlement data in initial clearing catalogue is matched and classified, thus, it is possible to accurately obtain
To the corresponding clearing attribute of settlement data and classification, and the project clearing catalogue of specification is formed, and then can effectively improve to knot
It counts according to the efficiency handled.
Detailed description of the invention
Fig. 1 is the application scenario diagram of settlement data processing method in one embodiment；
Fig. 2 is the flow diagram of settlement data processing method in one embodiment；
Fig. 3 is the flow diagram treated decision settlement data in one embodiment and carry out steps in decision-making；
Fig. 4 is the flow diagram that decision model step is constructed in one embodiment；
Fig. 5 is the structural block diagram of settlement data processing unit in one embodiment；
Fig. 6 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Settlement data processing method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, eventually
End 102 is communicated with server 104 by network by network.Wherein, terminal 102 can be, but not limited to be various personal meters
Calculation machine, laptop, smart phone, tablet computer and portable wearable device, server 104 can use independent service
The server cluster of device either multiple servers composition is realized.The available multiple terminals 102 of server 104 send more
A initial clearing catalogue, initial settle accounts in catalogue includes multiple to settlement data and corresponding multiple fields to be settled accounts.Server
104 further obtain authority data table, include regular-way settlement data and corresponding multiple normative fields, specification in authority data table
Settlement data is set with clearing attribute and classification.Field to be settled accounts is compared with regular-way settlement field, when field to be settled accounts
When consistent with normative field, it is determined that it is corresponding with field to be settled accounts to settlement data be regular-way settlement data, by normative field
The clearing attribute and classification of corresponding regular-way settlement data setting are added to settlement data.When field to be settled accounts and standardized characters
Section it is inconsistent when, it is determined that it is corresponding with field to be settled accounts to settlement data be settlement data lack of standardization, according to lack of standardization wait tie
It counts according to generation to decision settlement data.Server 104 then obtains decision model, and treats decision clearing number according to decision model
According to decision is carried out, obtain to the corresponding clearing attribute of decision settlement data and classification, and be added to in decision settlement data.Clothes
Business device 104 generates project clearing mesh according to corresponding classification according to multiple settlement datas being added to after settling accounts attribute and classification
Record, and catalogue is settled accounts according to project and carries out project settlement process.
In one embodiment, as shown in Fig. 2, providing a kind of settlement data processing method, it is applied to Fig. 1 in this way
In server for be illustrated, comprising the following steps:
Step 202, multiple initial clearing catalogues are obtained, initial catalogue of settling accounts includes multiple to settlement data and corresponding more
A field to be settled accounts.
Wherein, initially clearing catalogue can be the clearing catalogue that various regions are issued, such as social insurance clearing catalogue, medical treatment are protected
Danger clearing catalogue and drug settlement catalogue etc..Refer to the settlement information of project to be settled accounts to settlement data.
Multiple initial clearing catalogues that the available multiple terminals of server are sent, initial settle accounts in catalogue includes multiple
To settlement data, every includes corresponding multiple fields to be settled accounts to settlement data.For example, drug settlement catalogue may include more
A drug settlement data, each drug settlement data may include " common name ", " dosage form ", " specification " and " manufacturer " etc.
Multiple field informations.
Step 204, authority data table is obtained, includes regular-way settlement data and corresponding multiple standardized characters in authority data table
Section, regular-way settlement data setting have clearing attribute and classification.
After server obtains multiple initial clearing catalogues, authority data table is further obtained.Authority data table can be root
According to preset rules regular-way settlement data predetermined.After can also be server by obtaining a large amount of settlement data, to big
The settlement data of amount carries out big data analysis, and the multiple regular-way settlement data defined based on the analysis results with preset rules.
It include the corresponding multiple normative fields of regular-way settlement data in authority data table, regular-way settlement data further include corresponding clearing
Attribute and classification.
Step 206, field to be settled accounts is matched with normative field.
Step 208, when wait settle accounts field it is consistent with normative field when, it is determined that number to be settled accounts corresponding with field to be settled accounts
According to for regular-way settlement data, the clearing attribute of the corresponding regular-way settlement data setting of normative field and classification are added to wait tie
Count evidence.
It, just will be in the field to be settled accounts and regular-way settlement data in settlement data after server obtains authority data table
Normative field is matched.When in settlement data wait settle accounts field it is with the normative field in regular-way settlement data consistent when,
Indicate this wait for settlement data be specification settlement data, it is determined that it is corresponding with field to be settled accounts to settlement data be regular-way settlement
Data, and the clearing attribute of the corresponding regular-way settlement data setting of normative field and classification are added to in settlement data.By
This can go out the settlement data to standardize in settlement data with Direct Recognition, and add corresponding clearing attribute and classification.
Step 210, when settling accounts field and normative field is inconsistent, it is determined that corresponding with field to be settled accounts wait settle accounts
Data are settlement data lack of standardization, are generated to settlement data to decision settlement data according to lack of standardization, obtain decision model, according to
Decision model treats decision settlement data and carries out decision, obtains to the corresponding clearing attribute of decision settlement data and classification, and add
It adds to in decision settlement data.
When in settlement data wait settle accounts the normative field in field and regular-way settlement data it is inconsistent when, indicating should be to
Settlement data is nonstandard settlement data, then needs that nonstandard settlement data is further processed.Server is then
Determine it is corresponding with field to be settled accounts to settlement data be settlement data lack of standardization, and according to it is lack of standardization to settlement data generation to
Decision settlement data.Specifically, server will be to the standardized characters in the field to be settled accounts and regular-way settlement data in settlement data
When Duan Jinhang is matched, extract not up to preset matching degree to settlement data, not up to preset matching degree to settlement data
It is then inconsistent to settlement data with regular-way settlement data.
Server then generates after decision settlement data according to lack of standardization after settlement data, and then obtains decision model, certainly
In plan model include multiple nodes, will be input in decision model to decision data, and according to the node sequence of decision model into
Row traversal, until obtaining to the corresponding clearing attribute of decision settlement data and classification.By treating decision knot according to decision model
It counts according to decision is carried out, can accurately decision go out to clearing attribute and classification corresponding to decision settlement data, and by decision
Clearing attribute and classification out is added to in decision settlement data.
Step 212, project is generated according to classification according to the settlement data after multiple addition clearing attributes and classification and settles accounts mesh
Record.
Step 214, catalogue is settled accounts according to project and carries out project settlement process.
Server is treated after decision settlement data plan goes out corresponding clearing attribute and classification according to decision model, then according to more
Settlement data after a addition clearing attribute and classification generates project according to classification and settles accounts catalogue.Wherein, it is added to clearing attribute
With the settlement data after classification include be added to clearing attribute and classification to settlement data, and be added to clearing attribute and class
It is other to decision settlement data.
After server generates project clearing catalogue, the project clearing catalogue of standardization is formed, then can be settled accounts according to project
Catalogue carries out settlement process to corresponding project.
In above-mentioned settlement data processing method, server obtains multiple initial clearing catalogues, and initial catalogue of settling accounts includes more
It is a to settlement data, include corresponding multiple fields to be settled accounts to settlement data.Server obtains authority data table, authority data
It include the corresponding multiple normative fields of regular-way settlement data in table, regular-way settlement data setting has clearing attribute and classification.Service
Device matches field to be settled accounts with normative field, when wait settle accounts field it is consistent with normative field when, it is determined that with wait settle accounts
Field it is corresponding to settlement data be regular-way settlement data, by the clearing category of the corresponding regular-way settlement data setting of normative field
Property and classification are added to settlement data.When settling accounts field and normative field is inconsistent, it is determined that with field pair to be settled accounts
Answering is settlement data lack of standardization to settlement data, and is generated to settlement data to decision settlement data according to lack of standardization.Service
Device obtains decision model in turn, carries out decision by treating decision settlement data according to decision model, obtains settling accounts number to decision
According to corresponding clearing attribute and classification, and it is added to in decision settlement data.Server according to multiple additions settle accounts attribute and
Settlement data after classification generates project according to classification and settles accounts catalogue, it is possible thereby to which settling accounts catalogue according to project carries out project clearing
Processing.By the way that the settlement data in initial clearing catalogue is matched and classified, thus, it is possible to accurately obtain number to be settled accounts
According to corresponding clearing attribute and classification, and the project clearing catalogue of specification is formed, and then can effectively improve to settlement data
Carry out treatment effeciency.
In one embodiment, field to be settled accounts match with normative field includes: to obtain semantic matches model, language
It include multiple regular-way settlement data and corresponding multiple normative field vectors in adopted Matching Model；It extracts to more in settlement data
The corresponding field vector of a field to be settled accounts；It will be corresponding with multiple regular-way settlement data to the corresponding field vector of settlement data
Multiple normative field vectors are matched.
Server obtains multiple initial clearing catalogues, and initial settle accounts in catalogue includes multiple to settlement data, every to
Settlement data includes corresponding multiple fields to be settled accounts.For example, drug settlement catalogue may include multiple drug settlement data, often
A drug settlement data may include multiple field informations such as " common names ", " dosage form ", " specification " and " manufacturer ".
After server obtains multiple initial clearing catalogues, authority data table is further obtained, includes in authority data table
The corresponding multiple normative fields of regular-way settlement data, regular-way settlement data setting have clearing attribute and classification.Server then basis
Official's tables of data obtains corresponding semantic matches model, includes that multiple regular-way settlement data are corresponding more in semantic matches model
A normative field vector.Server is extracted to the corresponding field vector of multiple fields to be settled accounts in settlement data, and will be to
The corresponding field vector of settlement data multiple normative field vectors corresponding with multiple regular-way settlement data are matched.Passing through will
It is matched, can effectively be matched and the consistent number to be settled accounts of regular-way settlement data with regular-way settlement data to settlement data
According to thus, it is possible to improve the efficiency treating settlement data and being further processed.
For example, including multiple drug datas, each drug data packet in drug settlement catalogue by taking drug settlement catalogue as an example
The content for including corresponding multiple fields to be settled accounts such as " common name ", " dosage form ", " specification " and " manufacturer ", extracts multiple
The corresponding field vector of the content of field to be settled accounts.After server obtains corresponding authority data table, further obtains and correspond to
Semantic matches model, include the corresponding multiple normative field vectors of multiple regular-way settlement data in semantic matches model.Clothes
Business device carries out the corresponding multiple field vectors of drug data multiple normative field vectors corresponding with multiple regular-way settlement data
Matching, i.e., by corresponding multiple fields to be settled accounts such as " common name " of drug data, " dosage form ", " specification " and " manufacturer "
Content and multiple normative field vectors corresponding with multiple regular-way settlement data matched.
In one embodiment, as shown in figure 3, treating the step of decision settlement data carries out decision tool according to decision model
Body includes the following contents:
Step 302, it extracts to the corresponding multiple field vectors of decision settlement data.
Step 304, it will be input to decision model to the corresponding multiple field vectors of decision settlement data, and according to decision model
The node sequence of type is traversed.
Step 306, it is exported according to decision model to the corresponding clearing attribute of decision settlement data and classification.
After server obtains multiple initial clearing catalogues, authority data table is obtained, initial catalogue of settling accounts includes multiple wait tie
Count evidence, includes corresponding multiple fields to be settled accounts to settlement data.It include that regular-way settlement data are corresponding in authority data table
Multiple normative fields, regular-way settlement data include corresponding clearing attribute and classification.Server will field be settled accounts and standardized characters
Duan Jinhang matching, when wait settle accounts field it is consistent with normative field when, it is determined that it is corresponding with field to be settled accounts to be to settlement data
The clearing attribute of the corresponding regular-way settlement data setting of normative field and classification are added to number to be settled accounts by regular-way settlement data
According to.
When wait settle accounts field and normative field it is inconsistent when, it is determined that it is corresponding with field to be settled accounts to settlement data be not
Regular-way settlement data are generated to settlement data to decision settlement data according to lack of standardization.Server is extracted to decision knot in turn
It counts according to corresponding multiple field vectors, and obtains decision model.Include decision tree in decision model, is preset in decision tree
There are multiple nodes.It will be input to decision model to the corresponding multiple field vectors of decision settlement data, and according in decision model
Node sequence traversed.It is exported according to decision model to the corresponding clearing attribute of decision settlement data and classification, and will be right
The clearing attribute and classification answered are added to in decision settlement data.By treating decision according to node sequence according to decision model
Settlement data carries out decision, can be improved the efficiency of decision, corresponding to decision settlement data thus, it is possible to effectively and accurately obtain
Clearing attribute and classification.
It in one embodiment, further include building decision model as shown in figure 4, before the acquisition decision model
Step, the step specifically include the following contents:
Step 402, multiple settlement datas in multiple databases are obtained, settlement data includes multiple field names and corresponding
Field value.
Step 404, probability analysis is carried out to the field name of settlement data, obtains the priority probability of each field name.
Step 406, priority ranking is carried out to field name according to the priority probability of field name.
Step 408, multiple settlement datas are trained according to the field name of settlement data and corresponding field value and clearing belongs to
Property and corresponding classification between incidence relation.
Step 410, according to the field name after priority ranking and the settlement data after training and clearing attribute and classification
Between incidence relation construct decision tree, and according to decision tree generate decision model.
Server needs to construct decision model in advance before obtaining decision model.Specifically, server can be from multiple
Multiple settlement datas are obtained in the database of website, the settlement data of acquisition can be the initial clearing of various regions or the publication of each mechanism
Catalogue.
It include multiple field names and corresponding field value in settlement data.Server is first to multiple words in settlement data
Section name carries out probability analysis, wherein probability analysis can make server big by carrying out to multiple field names in settlement data
Data analysis, analyzes each field name probability used in clearing field, uses the importance than more frequently field name
Higher, thus, it is possible to obtain the priority probability of each field name.Server is in turn according to the priority probability of each field name
Field name is ranked up.After carrying out priority ranking to field name, it can effectively improve and determine to settlement data
The efficiency of plan.
Server further trains multiple settlement datas according to the field name of multiple settlement datas and corresponding field value
With the incidence relation between clearing attribute and classification.Specifically, server can be using each settlement data as a sample, will
For field name and corresponding field value in each settlement data as a dimension, each settlement data then has multiple dimensions.Clothes
Device be engaged in further to each dimension progress clustering of each settlement data.Server can use cluster algorithm, example
Such as K-means algorithm, calculating successively is iterated to multiple samples using multiple dimensions of each settlement data as data object,
Calculate the corresponding cluster result of each settlement data.For example, multiple field names and right in the available settlement data of server
Multiple dimension variables corresponding to the field value answered, and then clustering is carried out to multiple settlement data samples, it is possible thereby to point
Settlement data is precipitated and settles accounts the incidence relation between attribute and classification.
And then server then can be according to the field name after priority ranking and the settlement data after training and clearing attribute
And the incidence relation between classification constructs decision tree, and generates decision model according to decision tree.By according to priority ranking
The settlement data after field name training afterwards and the incidence relation between clearing attribute and classification construct decision model, Ke Yiyou
Effect improves the efficiency and accuracy rate that decision is carried out according to decision model.
In one embodiment, this method further include: obtain multiple update settlement datas, update settlement data and be set with knot
Calculate attribute and classification；The corresponding incidence relation settled accounts between attribute and classification of data is received to decision model progress according to updating
Optimization.
With the variation of various factors, decision model is also required to be adjusted with the variation and the passage of time of various factors
It is whole, to improve the stability of model.Priority probability and training of the server according to the field name of multiple settlement datas of acquisition
It, can also be further to decision model out after the incidence relation building decision model between settlement data and clearing attribute and classification
Type optimizes, so that the accuracy rate of decision model is higher.
Server can be one from the update settlement data obtained in preset time period in database, preset time
Year, it is also possible to half a year, a season or one month etc..Update settlement data can be the dependency rule progress to settlement data
Updated settlement data is also possible to the regular-way settlement data of the update defined according to preset rules.It updates in settlement data
It is set with clearing attribute and classification, server is further by carrying out clustering to update settlement data, to decision model
It optimizes, can effectively guarantee that the stabilization of decision model is new, and then can effectively improve according to decision model to clearing number
The accuracy classified according to the news.
In one embodiment, the settlement data after settling accounts attributes and classification according to multiple additions is according to classification generating item
Mesh is settled accounts after catalogue, further includes: is ranked up according to the clearing attribute and classification of settlement data to settlement data；According to default
Mode encodes the settlement data after sequence；Clearing catalogue after coding is stored.
Server generates project according to classification according to the settlement data after multiple addition clearing attributes and classification and settles accounts catalogue
Later, settlement data is ranked up according to the clearing attribute and classification of settlement data.The classification of settlement data may also contain
Multiple hierarchical categories, and then project is settled accounts the settlement data in catalogue and is carried out according to corresponding classification or hierarchical category by server
Sequence.After server is ranked up project clearing catalogue, carried out according to settlement data of the predetermined manner to each hierarchical category
Coding, and the project clearing catalogue after coding is stored.Wherein, code character includes at least two kinds.Code character can be with
It is character and digit, such as ABS10001, ABS100012.Again by the settlement data under each hierarchical category according to corresponding volume
Code character sequentially adds sub- character.Such as ABS10001001, ABS10001002.By settling accounts mesh to the project after classification
Record data are encoded, and the efficiency of management of settlement data is effectively improved.
It should be understood that although each step in the flow chart of Fig. 2-4 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-4
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 5, providing a kind of settlement data processing unit, comprising: acquisition module 502,
Matching module 504, decision-making module 506, catalog generation module 508 and catalogue processing module 510, in which:
Obtain module 502, for obtaining multiple initial clearing catalogues, it is initial settle accounts catalogue include it is multiple to settlement data and
Corresponding multiple fields to be settled accounts；Settlement data table is obtained, includes regular-way settlement data in settlement data table and corresponding multiple
Normative field, regular-way settlement data setting have clearing attribute and classification；
Matching module 504, for field to be settled accounts to be compared with normative field；When field to be settled accounts and normative field
When consistent, it is determined that it is corresponding with field to be settled accounts to settlement data be regular-way settlement data, by the corresponding rule of normative field
The clearing attribute and classification of model settlement data setting are added to settlement data；
Decision-making module 506, for when settling accounts field and normative field is inconsistent, it is determined that corresponding with field to be settled accounts
To settlement data be settlement data lack of standardization, according to it is lack of standardization to settlement data generate non-standard settlement data, obtain decision
Model, according to decision model to non-standard settlement data carry out decision, obtain the corresponding clearing attribute of non-standard settlement data with
Classification, and be added in non-standard settlement data；
Catalog generation module 508, for raw according to classification according to the settlement data after multiple addition clearing attributes and classification
Catalogue is settled accounts at project；
Catalogue processing module 510 carries out project settlement process for settling accounts catalogue according to project.
In one embodiment, matching module 504 is also used to obtain semantic matches model, includes more in semantic matches model
A regular-way settlement data and corresponding multiple normative field vectors；It extracts corresponding to fields to be settled accounts multiple in settlement data
Field vector；Will to the corresponding field vector of settlement data multiple normative field vectors corresponding with multiple regular-way settlement data into
Row matching.
In one embodiment, decision-making module 506 be also used to extract to the corresponding multiple fields of decision settlement data to
Amount；It will be input to decision model to the corresponding multiple field vectors of decision settlement data, and according to the node sequence of decision model
It is traversed；It is exported according to decision model to the corresponding clearing attribute of decision settlement data and classification.
In one embodiment, which further includes model construction module, for obtaining multiple knots in multiple databases
Count evidence, and settlement data includes multiple field names and corresponding field value；Probability analysis is carried out to the field name of settlement data, is obtained
To the priority probability of each field name；Priority ranking is carried out to field name according to the priority probability of field name；According to knot
The field name for the evidence that counts and corresponding field value train the association between multiple settlement datas and clearing attribute and corresponding classification
Relationship；According to after priority ranking field name and training after settlement data with clearing attribute and classification between being associated with
System building decision tree, and decision model is generated according to decision tree.
In one embodiment, which further includes model optimization module, for obtaining multiple update settlement datas, is updated
Settlement data is set with clearing attribute and classification；The corresponding association pass settled accounts between attribute and classification of data is received according to updating
System optimizes decision model.
In one embodiment, which further includes coding module, for the clearing attribute and classification according to settlement data
Settlement data is ranked up；The settlement data after sequence is encoded according to predetermined manner；To the clearing catalogue after coding
It is stored.
Specific about settlement data processing unit limits the limit that may refer to above for settlement data processing method
Fixed, details are not described herein.Modules in above-mentioned settlement data processing unit can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 6.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing initial settlement data catalogue, regular-way settlement tables of data and project settlement data catalogue etc..It should
The network interface of computer equipment is used to communicate with external terminal by network connection.The computer program is executed by processor
When to realize a kind of settlement data processing method.
It will be understood by those skilled in the art that structure shown in Fig. 6, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
Multiple initial clearing catalogues are obtained, initial catalogue of settling accounts includes multiple to settlement data and corresponding multiple wait settle accounts
Field；
Settlement data table is obtained, includes regular-way settlement data and corresponding multiple normative fields, specification in settlement data table
Settlement data is set with clearing attribute and classification；
Field to be settled accounts is compared with normative field；When wait settle accounts field it is consistent with normative field when, it is determined that with
Field to be settled accounts it is corresponding to settlement data be regular-way settlement data, by the corresponding regular-way settlement data setting of normative field
Clearing attribute and classification are added to settlement data；
When wait settle accounts field and normative field it is inconsistent when, it is determined that it is corresponding with field to be settled accounts to settlement data be not
Regular-way settlement data generate non-standard settlement data to settlement data according to lack of standardization, decision model are obtained, according to decision model
Decision is carried out to non-standard settlement data, obtains the corresponding clearing attribute of non-standard settlement data and classification, and be added to non-rule
In model settlement data；
Project, which is generated, according to classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to project carries out project settlement process.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains semantic matches model,
It include multiple regular-way settlement data and corresponding multiple normative field vectors in semantic matches model；It extracts in settlement data
The corresponding field vector of multiple fields to be settled accounts；It will be corresponding with multiple regular-way settlement data to the corresponding field vector of settlement data
Multiple normative field vectors matched.
In one embodiment, it also performs the steps of to extract when processor executes computer program and be settled accounts to decision
The corresponding multiple field vectors of data；It will be input to decision model to the corresponding multiple field vectors of decision settlement data, and pressed
It is traversed according to the node sequence of decision model；It is exported according to decision model to the corresponding clearing attribute of decision settlement data and class
Not.
In one embodiment, it also performs the steps of and is obtained in multiple databases when processor executes computer program
Multiple settlement datas, settlement data includes multiple field names and corresponding field value；The field name of settlement data is carried out general
Rate analysis, obtains the priority probability of each field name；Priority row is carried out to field name according to the priority probability of field name
Sequence；According to the field name of settlement data and corresponding field value train multiple settlement datas with clearing attribute and corresponding classification it
Between incidence relation；According between the field name after priority ranking and the settlement data after training and clearing attribute and classification
Incidence relation construct decision tree, and according to decision tree generate decision model.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains multiple update clearing
Data update settlement data and are set with clearing attribute and classification；According to update receive the corresponding clearing attribute of data and classification it
Between incidence relation decision model is optimized.
In one embodiment, the knot according to settlement data is also performed the steps of when processor executes computer program
It calculates attribute and classification is ranked up settlement data；The settlement data after sequence is encoded according to predetermined manner；To coding
Clearing catalogue afterwards is stored.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Multiple initial clearing catalogues are obtained, initial catalogue of settling accounts includes multiple to settlement data and corresponding multiple wait settle accounts
Field；
Settlement data table is obtained, includes regular-way settlement data and corresponding multiple normative fields, specification in settlement data table
Settlement data is set with clearing attribute and classification；
Field to be settled accounts is compared with normative field；When wait settle accounts field it is consistent with normative field when, it is determined that with
Field to be settled accounts it is corresponding to settlement data be regular-way settlement data, by the corresponding regular-way settlement data setting of normative field
Clearing attribute and classification are added to settlement data；
When wait settle accounts field and normative field it is inconsistent when, it is determined that it is corresponding with field to be settled accounts to settlement data be not
Regular-way settlement data generate non-standard settlement data to settlement data according to lack of standardization, decision model are obtained, according to decision model
Decision is carried out to non-standard settlement data, obtains the corresponding clearing attribute of non-standard settlement data and classification, and be added to non-rule
In model settlement data；
Project, which is generated, according to classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to project carries out project settlement process.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains semantic matches mould
Type includes multiple regular-way settlement data and corresponding multiple normative field vectors in semantic matches model；Extract number to be settled accounts
The corresponding field vector of multiple fields to be settled accounts in；It will be to the corresponding field vector of settlement data and multiple regular-way settlement data
Corresponding multiple normative field vectors are matched.
In one embodiment, it also performs the steps of and is extracted to decision knot when computer program is executed by processor
It counts according to corresponding multiple field vectors；It will be input to decision model to the corresponding multiple field vectors of decision settlement data, and
It is traversed according to the node sequence of decision model；According to decision model output to the corresponding clearing attribute of decision settlement data with
Classification.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains multiple databases
In multiple settlement datas, settlement data includes multiple field names and corresponding field value；The field name of settlement data is carried out
Probability analysis obtains the priority probability of each field name；Priority is carried out to field name according to the priority probability of field name
Sequence；Multiple settlement datas and clearing attribute and corresponding classification are trained according to the field name of settlement data and corresponding field value
Between incidence relation；According to after priority ranking field name and training after settlement data and clearing attribute and classification it
Between incidence relation construct decision tree, and according to decision tree generate decision model.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains multiple update knots
Count evidence, updates settlement data and is set with clearing attribute and classification；The corresponding clearing attribute of data and classification are received according to updating
Between incidence relation decision model is optimized.
In one embodiment, it also performs the steps of when computer program is executed by processor according to settlement data
Clearing attribute and classification are ranked up settlement data；The settlement data after sequence is encoded according to predetermined manner；To volume
Clearing catalogue after code is stored.
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 computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of settlement data processing method, comprising:
Multiple initial clearing catalogues are obtained, the initial clearing catalogue includes multiple to settlement data and corresponding multiple wait settle accounts
Field；
Authority data table is obtained, includes regular-way settlement data and corresponding multiple normative fields in the authority data table, it is described
Regular-way settlement data setting has clearing attribute and classification；
The field to be settled accounts is matched with the normative field；
When it is described wait settle accounts field it is consistent with the normative field when, it is determined that number to be settled accounts corresponding with the field to be settled accounts
According to for regular-way settlement data, the clearing attribute of the corresponding regular-way settlement data setting of the normative field and classification are added to
It is described to settlement data；
When described when settling accounts field and the normative field is inconsistent, it is determined that corresponding wait settle accounts with the field to be settled accounts
Data are settlement data lack of standardization, are generated to settlement data to decision settlement data according to lack of standardization, obtain decision model, according to
The decision model carries out decision to decision settlement data to described, obtains described to the corresponding clearing attribute of decision settlement data
And classification, and be added to described in decision settlement data；
Project, which is generated, according to the classification according to the settlement data after multiple addition clearing attributes and classification settles accounts catalogue；
Catalogue, which is settled accounts, according to the project carries out project settlement process.
2. the method according to claim 1, wherein it is described by the field to be settled accounts and the normative field into
Row matches
Semantic matches model is obtained, includes multiple regular-way settlement data and corresponding multiple standardized characters in the semantic matches model
Vector paragraph；
It extracts described to the corresponding field vector of fields to be settled accounts multiple in settlement data；
Will it is described to the corresponding field vector of settlement data multiple normative field vectors corresponding with multiple regular-way settlement data into
Row matching.
3. the method according to claim 1, wherein the acquisition decision model, according to the decision model pair
It is described to carry out decision to decision settlement data, comprising:
It extracts described to the corresponding multiple field vectors of decision settlement data；
It is input to decision model to the corresponding multiple field vectors of decision settlement data by described, and according to the decision model
Node sequence is traversed；
It is described to the corresponding clearing attribute of decision settlement data and classification according to decision model output.
4. the method according to claim 1, wherein before the acquisition decision model, further includes:
Multiple settlement datas in multiple databases are obtained, the settlement data includes multiple field names and corresponding field value；
Probability analysis is carried out to the field name of the settlement data, obtains the priority probability of each field name；
Priority ranking is carried out to field name according to the priority probability of the field name；
Multiple settlement datas and clearing attribute and corresponding are trained according to the field name of the settlement data and corresponding field value
Incidence relation between classification；
According to the pass between the field name after the priority ranking and the settlement data after training and clearing attribute and classification
Connection relationship constructs decision tree, and generates decision model according to the decision tree.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
Multiple update settlement datas are obtained, the update settlement data is set with clearing attribute and classification；
The corresponding incidence relation settled accounts between attribute and classification of data is received to decision model progress according to described update
Optimization.
6. the method according to claim 1, wherein it is described settle accounts attribute and classification according to multiple additions after
Settlement data is generated according to the classification after project clearing catalogue, further includes:
The settlement data is ranked up according to the clearing attribute of the settlement data and classification；
The settlement data after sequence is encoded according to predetermined manner；
Clearing catalogue after coding is stored.
7. a kind of settlement data processing unit, comprising:
Module is obtained, for obtaining multiple initial clearing catalogues, the initial clearing catalogue includes multiple to settlement data, described
It include corresponding multiple fields to be settled accounts to settlement data；Settlement data table is obtained, includes specification knot in the settlement data table
It counts according to corresponding multiple normative fields, the regular-way settlement data setting has clearing attribute and classification；
Matching module, for the field to be settled accounts to be compared with the normative field；When the field to be settled accounts and institute
State normative field it is consistent when, it is determined that corresponding with the field to be settled accounts to settlement data is regular-way settlement data, will be described
The clearing attribute and classification of the corresponding regular-way settlement data setting of normative field are added to described to settlement data；
Decision-making module, for when it is described wait settle accounts field and the normative field it is inconsistent when, it is determined that with the word to be settled accounts
Section it is corresponding to settlement data be settlement data lack of standardization, according to it is lack of standardization to settlement data generate non-standard settlement data, obtain
Decision model is taken, decision is carried out to the non-standard settlement data according to the decision model, obtains the non-standard clearing number
According to corresponding clearing attribute and classification, and it is added in the non-standard settlement data；
Catalog generation module, for according to it is multiple addition clearing attributes and classification after settlement datas according to the classification generating item
Mesh settles accounts catalogue；
Catalogue processing module carries out project settlement process for settling accounts catalogue according to the project.
8. device according to claim 7, which is characterized in that the decision-making module is also used to extract the non-standard knot
Count the corresponding field vector of field information in；The field vector of the non-standard settlement data is input to decision model,
And it is traversed according to the node sequence of the decision model；The non-standard settlement data pair is exported according to the decision model
The clearing attribute and classification answered.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
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| CN201811020169.8A CN109410069A (en) | 2018-09-03 | 2018-09-03 | Settlement data processing method, device, computer equipment and storage medium |
| PCT/CN2019/096961 WO2020048247A1 (en) | 2018-09-03 | 2019-07-22 | Settlement data processing method and apparatus, and computer device and storage medium |
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