CN107895003A - A kind of data quality checking method and apparatus - Google Patents
A kind of data quality checking method and apparatus Download PDFInfo
- Publication number
- CN107895003A CN107895003A CN201711044727.XA CN201711044727A CN107895003A CN 107895003 A CN107895003 A CN 107895003A CN 201711044727 A CN201711044727 A CN 201711044727A CN 107895003 A CN107895003 A CN 107895003A
- Authority
- CN
- China
- Prior art keywords
- data
- standard
- rule
- report
- field
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Storage Device Security (AREA)
Abstract
The invention provides a kind of data quality checking method and apparatus, wherein, this method includes:At least two data standards are pre-set, in addition to:Obtain data to be tested table;At least two target data standards are determined at least two data standard;For target data standard each described, it is performed both by:Data quality checking is carried out to the data to be tested table using current target data standard;According to testing result corresponding to each target data standard, at least one Data Detection report is generated.Scheme provided by the invention can carry out the detection of multiple dimensions to data.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of data quality checking method and apparatus.
Background technology
During enterprise operation, due to more areas, multi-product, multi-service, multisystem environment, cause data to exist all
Multimass problem, mainly includes:The problems such as data are inconsistent, imperfect, disunity, thus cause manager, business personnel and
The misunderstanding of information user, causing data, there is deviation in business decision using there is mistake.The inferior quality of data is often made simultaneously
It is far from each other into the system developed and user's expection, and cause operation expense too high, workload is excessive, and system is difficult
With extension.In summary, the detection of the quality of data is for improving the vital of the quality of data.
In the prior art, typically data are detected by single rule, for example, being advised using the form pre-set
Then detect the form of target data.
But existing method can only carry out the detection of the single dimensions such as form to data.
The content of the invention
The embodiments of the invention provide a kind of data quality checking method and apparatus, can carry out multiple dimensions to data
Detection.
In a first aspect, the embodiments of the invention provide a kind of data quality checking method, at least two data are pre-set
Standard, in addition to:
Obtain data to be tested table;
At least two target data standards are determined at least two data standard;
For target data standard each described, it is performed both by:Using current target data standard to the number to be detected
Data quality checking is carried out according to table;
According to testing result corresponding to each target data standard, at least one Data Detection report is generated.
Preferably,
The data standard, including:It is field standard, Data element standard, tables of data standard, constraint rule, data dictionary, quick
The combination of any one or more in sense field, blacklist and white list.
Preferably,
The Data Detection report is divided into integrity report, normative report, uniformity is reported, accuracy is reported, unique
Property report, relevance report, security report.
Preferably,
The current target data standard is constraint rule;
The constraint rule includes:From rule and merge equal to rule, interception from rule;
It is described that data quality checking is carried out to the data to be tested table using current target data standard, including:
Using it is described be equal to data to be tested table described in rule judgment in aiming field whether with pre-set first
Whether criteria field is identical, intercepted described in from the aiming field in data to be tested table described in rule judgment using the interception
First criteria field, merged using described from whether the aiming field in data to be tested table described in rule judgment is described first
The combination of criteria field and the second criteria field pre-set.
Second aspect, the embodiments of the invention provide a kind of data quality checking device, including:
Setting unit, for setting at least two data standards;
Determining unit, for obtaining data to be tested table;In at least two data mark that the setting unit is set
At least two target data standards are determined in standard;
Detection unit, for each the described target data standard determined for the determining unit, it is performed both by:Utilize
Current target data standard carries out data quality checking to the data to be tested table;
Generation unit, for the testing result according to corresponding to each target data standard, generate at least one data
Examining report.
Preferably,
The data standard, including:It is field standard, Data element standard, tables of data standard, constraint rule, data dictionary, quick
The combination of any one or more in sense field, blacklist and white list.
Preferably,
The Data Detection report is divided into integrity report, normative report, uniformity is reported, accuracy is reported, unique
Property report, relevance report, security report.
Preferably,
The current target data standard is constraint rule;
The constraint rule includes:From rule and merge equal to rule, interception from rule;
The detection unit, for whether utilizing the aiming field being equal in data to be tested table described in rule judgment
It is identical with the first criteria field pre-set, intercepted using described from the target word in data to be tested table described in rule judgment
Whether section is intercepted from first criteria field, is merged using described from the target word in data to be tested table described in rule judgment
Whether section is first criteria field and the combination of the second criteria field that pre-sets.
The third aspect, the embodiments of the invention provide a kind of computer-readable recording medium, including execute instruction, when the place of storage control
When managing the device execution execute instruction, the storage control performs the method described in any of the above-described embodiment.
Fourth aspect, the embodiments of the invention provide a kind of storage control, including:Processor, memory and bus;
The memory is used to store execute instruction, and the processor is connected with the memory by the bus, when
During the storage control operation, the execute instruction of memory storage described in the computing device, so that the storage
Controller performs the method described in any of the above-described embodiment.
The embodiments of the invention provide a kind of data quality checking method and apparatus, wherein, this method can utilize a variety of
Data standard carries out the detection of multiple dimensions to data to be tested table, and compared with the prior art, this method has detection efficiency
The high, advantage that maintenance cost is low, detection dimensions are various.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of flow chart for data quality checking method that one embodiment of the invention provides;
Fig. 2 is a kind of flow chart for data quality checking method that another embodiment of the present invention provides;
Fig. 3 is a kind of structural representation for data quality checking device that one embodiment of the invention provides.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments, based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained on the premise of creative work is not made, belongs to the scope of protection of the invention.
As shown in figure 1, the embodiments of the invention provide a kind of data quality checking method, this method can include following step
Suddenly:
Step 101:At least two data standards are set;
Step 102:Obtain data to be tested table;
Step 103:At least two target data standards are determined at least two data standards;
Step 104:For each target data standard, it is performed both by:Testing number is treated using current target data standard
Data quality checking is carried out according to table;
Step 105:According to testing result corresponding to each target data standard, at least one Data Detection report is generated.
In the embodiment of the present invention shown in Fig. 1, this method can be entered using a variety of data standards to data to be tested table
The detection of the multiple dimensions of row, compared with the prior art, this method has detection efficiency height, maintenance cost is low, detection dimensions are more
The advantage of sample.
Wherein, the content of two aspects is included to the data quality checking of data to be tested table, detection to tables of data and
Detection to each field data in tables of data.
In one embodiment of the invention, data standard, including:Field standard, Data element standard, tables of data standard,
The combination of any one or more in constraint rule, data dictionary, sensitive field, blacklist and white list.
Wherein, field standard, Data element standard, constraint rule, data dictionary, sensitive field, blacklist and white list are used
The detection of each field data in tables of data, tables of data standard are used to detect tables of data.In practical application scene
In, a field can correspond to a variety of data standards.
The field standard major constraints form of data, such as:Data are an email addresses, and centre should include "@".Number
The scope for constraining data content according to dictionary can not exceed dictionary scope.Sensitive field includes the enumerations information of sensitive information.It is black
The detection information of each field in each tables of data is stored in list, white list, for example, identity card field is present in multiple data
In table, during 10 data quality checkings, all detect that the field has problem, then the field information be recorded into black name
Dan Zhong, if only 1 time detects that the field has problem, the field information recorded in white list.
In one embodiment of the invention, Data Detection report is divided into integrity report, normative report, uniformity report
Accuse, accuracy is reported, uniqueness is reported, relevance is reported, security report.
Wherein, a kind of testing result can correspond to a variety of data monitoring reports.
In one embodiment of the invention, in order to meet the needs of technical staff is to custom rule, current goal number
It is constraint rule according to standard;
Constraint rule includes:From rule and merge equal to rule, interception from rule;
Data quality checking is carried out to data to be tested table using current target data standard, including:
Using equal to the aiming field in rule judgment data to be tested table whether with the first criteria field for pre-setting
It is identical, whether intercepted from the first criteria field from the aiming field in rule judgment data to be tested table using interception, utilize conjunction
And from the aiming field in rule judgment data to be tested table whether be the first criteria field and the second standard word pre-set
The combination of section.
The utilization of constraint rule can be it is compound, such as:Target data has identity card piece number field, identity card piece number
First 14 are merged with birthdate and form again by 6 before the interception of districts and cities codes, and this has just used interception from rule and merging
From the combination of rule.
As shown in Fig. 2 the embodiment of the present invention by taking two kinds of target data standards as an example, is carried out detailed to data quality determining method
Carefully illustrate, this method includes:
Step 201:Data standard is set:Field standard, Data element standard, tables of data standard, constraint rule, data word
Allusion quotation, sensitive field, blacklist and white list.
Step 202:Data to be tested table is obtained, data to be tested table includes two fields:Address field and mailbox field.
Step 203:Field standard and constraint rule are determined in data standard, wherein, constraint rule includes:Equal to rule
Then, interception from rule and merges from rule.
Step 204:Data quality checking is carried out to mailbox field using field standard;
Step 205:Using whether identical with the first criteria field pre-set equal to rule judgment address field.
Step 206:Whether intercepted from the first criteria field from rule judgment address field using interception.
Step 207:Using merge from rule judgment address field whether be the first criteria field and pre-set second
The combination of criteria field.
Step 208:According to testing result corresponding to field standard and constraint rule, at least one Data Detection report is generated
Accuse.
Data Detection report includes:Integrity report, normative report, uniformity report, accuracy report, uniqueness report
Accuse, relevance is reported, security report.
As shown in figure 3, the embodiments of the invention provide a kind of data quality checking device, including:
Setting unit 301, for setting at least two data standards;
Determining unit 302, for obtaining data to be tested table;In at least two data standards that setting unit 301 is set
At least two target data standards of middle determination;
Detection unit 303, for each the target data standard determined for determining unit 302, it is performed both by:Using work as
Preceding target data standard carries out data quality checking to data to be tested table;
Generation unit 304, for the testing result according to corresponding to each target data standard, generate at least one data inspection
Observe and predict announcement.
In one embodiment of the invention, data standard, including:Field standard, Data element standard, tables of data standard,
The combination of any one or more in constraint rule, data dictionary, sensitive field, blacklist and white list.
In one embodiment of the invention, Data Detection report is divided into integrity report, normative report, uniformity report
Accuse, accuracy is reported, uniqueness is reported, relevance is reported, security report.
In one embodiment of the invention, current target data standard is constraint rule;
Constraint rule includes:From rule and merge equal to rule, interception from rule;
Detection unit, for using the aiming field being equal in rule judgment data to be tested table whether with pre-setting
Whether the first criteria field is identical, intercepted from the first standard from the aiming field in rule judgment data to be tested table using interception
Whether field is the first criteria field from the aiming field in rule judgment data to be tested table using merging and is pre-set
The combination of second criteria field.
The embodiments of the invention provide a kind of computer-readable recording medium, including execute instruction, when the computing device of storage control
During execute instruction, the method for any of the above-described embodiment of storage control execution.
The embodiments of the invention provide a kind of storage control, including:Processor, memory and bus;
Memory is used to store execute instruction, and processor is connected with memory by bus, when storage control is run,
The execute instruction of computing device memory storage, so that the method that storage control performs any of the above-described embodiment.
The contents such as the information exchange between each unit, implementation procedure in said apparatus, due to implementing with the inventive method
Example is based on same design, and particular content can be found in the narration in the inventive method embodiment, and here is omitted.
To sum up, each embodiment of the present invention at least has the effect that:
1st, in embodiments of the present invention, this method can carry out multiple dimensions using a variety of data standards to data to be tested table
The detection of degree, compared with the prior art, this method has detection efficiency height, the advantage that maintenance cost is low, detection dimensions are various.
It should be noted that herein, such as first and second etc relational terms are used merely to an entity
Or operation makes a distinction with another entity or operation, and not necessarily require or imply and exist between these entities or operation
Any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant be intended to it is non-
It is exclusive to include, so that process, method, article or equipment including a series of elements not only include those key elements,
But also the other element including being not expressly set out, or also include solid by this process, method, article or equipment
Some key elements.In the absence of more restrictions, by sentence " including the key element that a 〃 〃 " is limited, it is not excluded that
Other identical factor in the process including the key element, method, article or equipment also be present.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above method embodiment can pass through
Programmed instruction related hardware is completed, and foregoing program can be stored in computer-readable storage medium, the program
Upon execution, the step of execution includes above method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or light
Disk etc. is various can be with the medium of store program codes.
It is last it should be noted that:Presently preferred embodiments of the present invention is the foregoing is only, is merely to illustrate the skill of the present invention
Art scheme, is not intended to limit the scope of the present invention.Any modification for being made within the spirit and principles of the invention,
Equivalent substitution, improvement etc., are all contained in protection scope of the present invention.
Claims (10)
- A kind of 1. data quality checking method, it is characterised in that at least two data standards are pre-set, in addition to:Obtain data to be tested table;At least two target data standards are determined at least two data standard;For target data standard each described, it is performed both by:Using current target data standard to the data to be tested table Carry out data quality checking;According to testing result corresponding to each target data standard, at least one Data Detection report is generated.
- 2. data quality checking method according to claim 1, it is characterised in thatThe data standard, including:Field standard, Data element standard, tables of data standard, constraint rule, data dictionary, sensitive words The combination of any one or more in section, blacklist and white list.
- 3. data quality checking method according to claim 1, it is characterised in thatThe Data Detection report is divided into integrity report, normative report, uniformity report, accuracy report, uniqueness report Accuse, relevance is reported, security report.
- 4. according to any described data quality checking method in claim 1-3, it is characterised in thatThe current target data standard is constraint rule;The constraint rule includes:From rule and merge equal to rule, interception from rule;It is described that data quality checking is carried out to the data to be tested table using current target data standard, including:Using the aiming field being equal in data to be tested table described in rule judgment whether with the first standard for pre-setting Whether field is identical, intercepted from described first from the aiming field in data to be tested table described in rule judgment using the interception Criteria field, merged using described from whether the aiming field in data to be tested table described in rule judgment is first standard The combination of field and the second criteria field pre-set.
- A kind of 5. data quality checking device, it is characterised in that including:Setting unit, for setting at least two data standards;Determining unit, for obtaining data to be tested table, at least two data standard that the setting unit is set Determine at least two target data standards;Detection unit, for each the described target data standard determined for the determining unit, it is performed both by:Using current Target data standard carries out data quality checking to the data to be tested table;Generation unit, for the testing result according to corresponding to each target data standard, generate at least one Data Detection Report.
- 6. data quality checking device according to claim 5, it is characterised in thatThe data standard, including:Field standard, Data element standard, tables of data standard, constraint rule, data dictionary, sensitive words The combination of any one or more in section, blacklist and white list.
- 7. data quality checking device according to claim 5, it is characterised in thatThe Data Detection report is divided into integrity report, normative report, uniformity report, accuracy report, uniqueness report Accuse, relevance is reported, security report.
- 8. according to any described data quality checking device in claim 5-7, it is characterised in thatThe current target data standard is constraint rule;The constraint rule includes:From rule and merge equal to rule, interception from rule;The detection unit, for utilize the aiming field being equal in data to be tested table described in rule judgment whether with advance The first criteria field first set is identical, is from the aiming field in data to be tested table described in rule judgment using the interception It is no to intercept from first criteria field, be from the aiming field in data to be tested table described in rule judgment using the merging The no combination for first criteria field and the second criteria field pre-set.
- 9. a kind of computer-readable recording medium, it is characterised in that including execute instruction, refer to when being performed described in the computing device of storage control When making, the storage control perform claim requires any described method in 1-4.
- A kind of 10. storage control, it is characterised in that including:Processor, memory and bus;The memory is used to store execute instruction, and the processor is connected with the memory by the bus, when described When storage control is run, the execute instruction of memory storage described in the computing device, so that the storage control Device perform claim requires any described method in 1-4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711044727.XA CN107895003A (en) | 2017-10-31 | 2017-10-31 | A kind of data quality checking method and apparatus |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711044727.XA CN107895003A (en) | 2017-10-31 | 2017-10-31 | A kind of data quality checking method and apparatus |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107895003A true CN107895003A (en) | 2018-04-10 |
Family
ID=61803223
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711044727.XA Pending CN107895003A (en) | 2017-10-31 | 2017-10-31 | A kind of data quality checking method and apparatus |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107895003A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108733362A (en) * | 2018-05-14 | 2018-11-02 | 浪潮通用软件有限公司 | A kind of quality of data method of inspection and device |
CN110275878A (en) * | 2019-06-25 | 2019-09-24 | 北京达佳互联信息技术有限公司 | Business datum detection method, device, computer equipment and storage medium |
CN110472109A (en) * | 2019-07-30 | 2019-11-19 | 深圳中科保泰科技有限公司 | Mobilism Data Quality Analysis method and plateform system |
CN110611576A (en) * | 2018-06-14 | 2019-12-24 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
CN110737650A (en) * | 2019-09-27 | 2020-01-31 | 北京明略软件系统有限公司 | Data quality detection method and device |
CN112055020A (en) * | 2020-09-04 | 2020-12-08 | 北京明朝万达科技股份有限公司 | Message screening method and device and data transmission system |
CN115757364A (en) * | 2023-02-01 | 2023-03-07 | 上海数慧系统技术有限公司 | Data quality detection method and device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101118550A (en) * | 2007-09-04 | 2008-02-06 | 山东浪潮齐鲁软件产业股份有限公司 | Application data quality detecting method |
US7865507B2 (en) * | 2003-09-15 | 2011-01-04 | Oracle International Corporation | Data quality analyzer |
CN104820720A (en) * | 2015-05-26 | 2015-08-05 | 北京京东尚科信息技术有限公司 | Data quality detecting method and device |
CN105976120A (en) * | 2016-05-17 | 2016-09-28 | 全球能源互联网研究院 | Electric power operation monitoring data quality assessment system and method |
CN106528828A (en) * | 2016-11-22 | 2017-03-22 | 山东浪潮云服务信息科技有限公司 | Multi-dimensional checking rule-based data quality detection method |
-
2017
- 2017-10-31 CN CN201711044727.XA patent/CN107895003A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7865507B2 (en) * | 2003-09-15 | 2011-01-04 | Oracle International Corporation | Data quality analyzer |
CN101118550A (en) * | 2007-09-04 | 2008-02-06 | 山东浪潮齐鲁软件产业股份有限公司 | Application data quality detecting method |
CN104820720A (en) * | 2015-05-26 | 2015-08-05 | 北京京东尚科信息技术有限公司 | Data quality detecting method and device |
CN105976120A (en) * | 2016-05-17 | 2016-09-28 | 全球能源互联网研究院 | Electric power operation monitoring data quality assessment system and method |
CN106528828A (en) * | 2016-11-22 | 2017-03-22 | 山东浪潮云服务信息科技有限公司 | Multi-dimensional checking rule-based data quality detection method |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108733362A (en) * | 2018-05-14 | 2018-11-02 | 浪潮通用软件有限公司 | A kind of quality of data method of inspection and device |
CN110611576A (en) * | 2018-06-14 | 2019-12-24 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
CN110611576B (en) * | 2018-06-14 | 2023-05-09 | 亿阳信通股份有限公司 | Data quality monitoring method, device, equipment and storage medium |
CN110275878A (en) * | 2019-06-25 | 2019-09-24 | 北京达佳互联信息技术有限公司 | Business datum detection method, device, computer equipment and storage medium |
CN110472109A (en) * | 2019-07-30 | 2019-11-19 | 深圳中科保泰科技有限公司 | Mobilism Data Quality Analysis method and plateform system |
CN110472109B (en) * | 2019-07-30 | 2022-06-21 | 深圳中科保泰空天技术有限公司 | Dynamic data quality analysis method and platform system |
CN110737650A (en) * | 2019-09-27 | 2020-01-31 | 北京明略软件系统有限公司 | Data quality detection method and device |
CN112055020A (en) * | 2020-09-04 | 2020-12-08 | 北京明朝万达科技股份有限公司 | Message screening method and device and data transmission system |
CN115757364A (en) * | 2023-02-01 | 2023-03-07 | 上海数慧系统技术有限公司 | Data quality detection method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107895003A (en) | A kind of data quality checking method and apparatus | |
CN106528828A (en) | Multi-dimensional checking rule-based data quality detection method | |
CN106681854B (en) | Information verification method, device and system | |
CN103714434A (en) | Chemical industry production site patrol system based on internet of things technology | |
CN113469857A (en) | Data processing method and device, electronic equipment and storage medium | |
CN110471912B (en) | Employee attribute information verification method and device and terminal equipment | |
CN112685743A (en) | Automatic reinforcing method and system for host security baseline | |
CN112307052A (en) | Data management method, service system, terminal and storage medium | |
CN114511235A (en) | Process evaluation method and system | |
US20170270438A1 (en) | Method and Apparatus for Repairing Policies | |
CN106021046A (en) | Hard disk performance comparison method, device and server | |
Zhang | Challenges and strategies of promoting cloud accounting | |
CN115314276A (en) | Security check management system, method and terminal equipment | |
CN114840519A (en) | Data labeling method, equipment and storage medium | |
CN102855590A (en) | Standard self-service trusteeship system used in laboratory | |
CN112668314A (en) | Data standard conformance detection method, device, system and storage medium | |
CN102855297B (en) | A kind of method of control data transmission and connector | |
CN116303380B (en) | Data quality checking method, equipment and medium in monitoring service | |
CN114925050A (en) | Data verification method and device based on knowledge base, electronic equipment and storage medium | |
KR102205810B1 (en) | Method for automatically returning rework result of crowdsourcing based project for artificial intelligence training data generation | |
CN111651330B (en) | Data acquisition method, data acquisition device, electronic equipment and computer readable storage medium | |
CN112598226A (en) | Equipment checking method, device, equipment and storage medium | |
CN110517010A (en) | A kind of data processing method, system and storage medium | |
CN117370116A (en) | Method and device for generating host electronic account, electronic equipment and storage medium | |
CN117149872A (en) | Data blood edge analysis method, medium, device and computing equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180410 |
|
RJ01 | Rejection of invention patent application after publication |