CN111177280A - Data authority evaluation method and device - Google Patents
Data authority evaluation method and device Download PDFInfo
- Publication number
- CN111177280A CN111177280A CN201911370645.3A CN201911370645A CN111177280A CN 111177280 A CN111177280 A CN 111177280A CN 201911370645 A CN201911370645 A CN 201911370645A CN 111177280 A CN111177280 A CN 111177280A
- Authority
- CN
- China
- Prior art keywords
- data
- authority
- classification
- data table
- index
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 54
- 238000013507 mapping Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 23
- 238000000034 method Methods 0.000 abstract description 18
- 238000004590 computer program Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
Abstract
The present disclosure provides a data authority evaluation method and device, wherein the evaluation method comprises: when a classification instruction of user data classification is received, sorting data in the database according to the classification instruction to obtain a classification data table; mapping the established evaluation index data table into a classification data table; associating the authority value with an evaluation index data table; and calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user. The method adopts dynamic evaluation factors and flexibly associates the databases. And the authority is calculated by freely customizing a formula, so that the accuracy of the authority is improved.
Description
Technical Field
The disclosure relates to the technical field of data processing, and in particular relates to a data authority evaluation method and device.
Background
With the continuous development of informatization, data processing and analysis have occupied an important position in each enterprise, and analysis of various production, operation, assets and other data in the enterprise can help users observe the state of the enterprise from multiple dimensions, understand the change of the enterprise and guide the operation decision of the enterprise.
Most enterprises can analyze business data and acquire data by establishing various business analysis systems. Generally, the system provides a pre-prepared business analysis result for users through a presentation form such as a report form or a chart.
However, in the prior art, several fixed factors are relied on for authoritative calculation of the data, and the authoritativeness of the data is low, so that the utilization of the data is influenced.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present disclosure provides a data authority evaluation method and apparatus.
In a first aspect, the present disclosure provides a data authority evaluation method, including:
when a classification instruction of user data classification is received, sorting data in the database according to the classification instruction to obtain a classification data table;
mapping the established evaluation index data table into a classification data table;
associating the authority value with an evaluation index data table;
and calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
Optionally, the data in the database is sorted according to the sorting instruction to obtain a sorted data table, where the data items of the sorted data table include data sort, data source, and table name to which the data item belongs.
Optionally, the established evaluation index data table is mapped into the classification data table, where the data items of the evaluation index data table include index factors, factor ratios, and table names to which the factors belong.
Optionally, the associating the authority value with the evaluation index data table includes:
and assigning authority values to the index factors.
Optionally, according to the data to be analyzed selected by the user, calculating the authority of the data to be analyzed through a calculation formula, wherein the calculation formula is as follows:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnThe factor ratio of the nth index factor.
In a second aspect, the present disclosure provides a data authority evaluation apparatus, including: a sorting module, a mapping module, an association module and a calculation module, wherein,
the sorting module is used for sorting the data in the database according to the classification instruction to obtain a classification data table when receiving the classification instruction of user data classification;
the mapping module is used for mapping the established evaluation index data table into the classification data table;
the association module is used for associating the authority value with the evaluation index data table;
and the calculation module is used for calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
Optionally, the data items of the sorted data table obtained by the sorting module include data sort, data source and name of the table.
Optionally, the data items of the evaluation index data table include index factors, factor ratios and table names.
Optionally, the association module is configured to assign an authority value to each index factor.
Optionally, the calculation module specifically calculates the authority of the data to be analyzed through a calculation formula, where the calculation formula is:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnIs the weight of the nth index factor.
In a third aspect, the present disclosure provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the text matching processing method according to any one of the first aspects.
In a fourth aspect, the present disclosure provides a computing device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the text matching processing method according to any one of the first aspect when executing the computer program.
Compared with the prior art, the method has the following beneficial effects:
the method adopts dynamic evaluation factors and flexibly associates the databases. And the authority is calculated by freely customizing a formula, so that the accuracy of the authority is improved.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating a method for evaluating data authority according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a data authority evaluation apparatus according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some embodiments of the present disclosure, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present disclosure belong to the protection scope of the present disclosure.
As shown in fig. 1, an embodiment of the present disclosure provides a data authority evaluation method, which may be implemented by using a computer program
When a classification instruction of user data classification is received, sorting data in the database according to the classification instruction to obtain a classification data table;
mapping the established evaluation index data table into a classification data table;
associating the authority value with an evaluation index data table;
and calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
In an embodiment of the present disclosure, the data in the database is sorted according to the sorting instruction to obtain a sorted data table, where the data items of the sorted data table include data sort, data source, and a table name to which the data item belongs.
In one embodiment of the present disclosure, the established evaluation index data table is mapped into the classification data table, where data items of the evaluation index data table include index factors, factor ratios, and names of tables to which the factors belong.
In one embodiment of the present disclosure, the associating the authority value with the evaluation index data table includes:
and assigning authority values to the index factors.
In an embodiment of the present disclosure, according to data to be analyzed selected by a user, authority of the data to be analyzed is calculated through a calculation formula, where the calculation formula is:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnThe factor ratio of the nth index factor.
The method for authoritatively evaluating medical information data will be described below by taking the method for authoritatively evaluating medical information data as an example.
S1: and defining data classification according to business requirements by a user, and classifying the data into categories such as electronic medical records, hospitalization data and the like.
A user can define a plurality of different data classifications according to requirements, flexible operations such as adding and deleting data classifications can be carried out, and the data classifications acquire corresponding data from the associated database.
S2: and mapping the established evaluation index data table into the classification data table.
The evaluation index data table is composed of index factors, factor ratios, the names of the affiliated tables and the like, and can be associated with the classification data table through association fields or the affiliated tables.
S3: and associating the authority value with the evaluation index data table.
The authority value is associated with index factors and factor ratios.
For example, the authority of a medical record in a hospital is related to the source of the medical record data, the grades of medical institutions are three-grade hospital/two-grade hospital/one-grade hospital, and the authority values (specific gravity) of the medical institutions in different grades are different.
Medical institution grade (three-level hospital) 10 points
Grade (secondary hospital) 5 points for medical institution
Medical institution grade (first grade hospital) 2 points
The authority of an outpatient electronic medical record is related to a doctor compiling the medical record, the job title of the doctor compiling the medical record is high, and the authority value of the corresponding medical record is also high.
The doctor's job title is 10 points (the chief and ren physicians)
The doctor's job title (assistant chief and ren physicians) is 8 points
The doctor's job is 6 points (the attending physician)
The doctor's job title is 4 points (inpatient)
The size of the authority value can be changed correspondingly according to the actual situation.
S4: and calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
In this embodiment, the authority of the in-patient medical records is evaluated, and corresponding index factor medical institution grades, medical record writing doctor titles and medical record data integrality are obtained. According to the difference of the mapping relations of the S1, the S2 and the S3 and the difference of the setting of the index factors, different index factors can be obtained for the data of the same category. The authoritative A ═ f of the hospitalized medical records of the embodiment1*w1+f2*w2+f3*w3The medical record data integrity ratio is (medical record data integrity ratio). The ratio of each index factor can be obtained by an analytic hierarchy process.
The present disclosure also provides a data authority evaluation device, including: a sorting module, a mapping module, an association module and a calculation module, wherein,
the sorting module is used for sorting the data in the database according to the classification instruction to obtain a classification data table when receiving the classification instruction of user data classification;
the mapping module is used for mapping the established evaluation index data table into the classification data table;
the association module is used for associating the authority value with the evaluation index data table;
and the calculation module is used for calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
In an embodiment of the present disclosure, the data items of the sorted data table obtained by the sorting module include data sort, data source, and name of the table.
In one embodiment of the present disclosure, the data items of the evaluation index data table include index factors, factor ratios, and table names to which the index factors belong.
In one embodiment of the disclosure, the association module is configured to assign an authority value to each index factor.
In an embodiment of the present disclosure, the calculation module specifically calculates the authority of the data to be analyzed through a calculation formula, where the calculation formula is:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnIs the weight of the nth index factor.
For the information interaction, execution process, and other contents between the modules in the apparatus, the specific contents may refer to the description in the embodiment of the method of the present disclosure because the same concept is based on the embodiment of the method of the present disclosure, and are not described herein again.
The present disclosure also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the data authority evaluation method of any one of the present disclosure.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a device of test software, and the like. Further, the non-volatile computer-readable storage medium may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the non-transitory computer readable storage medium optionally includes memory located remotely from the processor, which may be connected to the means for testing software over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The present disclosure also provides a computing device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any one of the data authority evaluation methods of the present disclosure when executing the computer program.
The computing devices of the disclosed embodiments exist in a variety of forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) Other electronic devices with data processing capabilities.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present disclosure, which is only used to illustrate the technical solutions of the present disclosure, and is not used to limit the protection scope of the present disclosure. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure are included in the scope of protection of the present disclosure.
Claims (10)
1. A data authority evaluation method is characterized by comprising the following steps:
when a classification instruction of user data classification is received, sorting data in the database according to the classification instruction to obtain a classification data table;
mapping the established evaluation index data table into a classification data table;
associating the authority value with an evaluation index data table;
and calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
2. The data authority evaluation method according to claim 1,
and sorting the data in the database according to the classification instruction to obtain a classification data table, wherein the data items of the classification data table comprise data classification, data sources and table names to which the data items belong.
3. The data authority evaluation method according to claim 1,
and mapping the established evaluation index data table into the classification data table, wherein the data items of the evaluation index data table comprise index factors, factor ratios and the names of the tables.
4. The data authority evaluation method according to claim 3, wherein the associating authority values with an evaluation index data table comprises:
and assigning authority values to the index factors.
5. The data authority evaluation method according to claim 4, characterized in that the authority of the data to be analyzed is calculated by a calculation formula according to the data to be analyzed selected by the user, wherein the calculation formula is as follows:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnThe factor ratio of the nth index factor.
6. A data authority evaluation apparatus, characterized by comprising: a sorting module, a mapping module, an association module and a calculation module, wherein,
the sorting module is used for sorting the data in the database according to the classification instruction to obtain a classification data table when receiving the classification instruction of user data classification;
the mapping module is used for mapping the established evaluation index data table into the classification data table;
the association module is used for associating the authority value with the evaluation index data table;
and the calculation module is used for calculating the authority of the data to be analyzed according to the data to be analyzed selected by the user.
7. The data authority evaluation device according to claim 6,
the data items of the classified data table obtained by the sorting module comprise data classification, data source and the name of the table.
8. The data authority evaluation device according to claim 6,
the data items of the evaluation index data table comprise index factors, factor ratios and table names.
9. The data authority evaluation device according to claim 8, wherein the correlation module is configured to assign authority values to the index factors.
10. The data authority evaluation device according to claim 9, wherein the calculation module calculates the authority of the data to be analyzed specifically by a calculation formula, wherein the calculation formula is:
A＝f1*w1+f2*w2+…+fn*wnn≥1
wherein f isnAuthority value of the nth index factor, wnIs the weight of the nth index factor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911370645.3A CN111177280A (en) | 2019-12-26 | 2019-12-26 | Data authority evaluation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911370645.3A CN111177280A (en) | 2019-12-26 | 2019-12-26 | Data authority evaluation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111177280A true CN111177280A (en) | 2020-05-19 |
Family
ID=70657487
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911370645.3A Pending CN111177280A (en) | 2019-12-26 | 2019-12-26 | Data authority evaluation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111177280A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107026750A (en) * | 2016-02-02 | 2017-08-08 | ***通信集团广东有限公司 | A kind of user's online QoE evaluation methods and device |
| CN108449201A (en) * | 2018-02-05 | 2018-08-24 | 中国工程物理研究院计算机应用研究所 | A kind of evaluation method of Intranet business data flow security management and control efficiency |
| CN109255028A (en) * | 2018-08-28 | 2019-01-22 | 西安交通大学 | Quality of instruction integrated evaluating method based on teaching evaluation data reliability |
| CN109636181A (en) * | 2018-12-11 | 2019-04-16 | 北京首汽智行科技有限公司 | A kind of user credit divides calculation method and system |
| WO2019100565A1 (en) * | 2017-11-27 | 2019-05-31 | 乐普（北京）医疗器械股份有限公司 | Method and device for self-learning dynamic electrocardiography analysis employing artificial intelligence |
-
2019
- 2019-12-26 CN CN201911370645.3A patent/CN111177280A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107026750A (en) * | 2016-02-02 | 2017-08-08 | ***通信集团广东有限公司 | A kind of user's online QoE evaluation methods and device |
| WO2019100565A1 (en) * | 2017-11-27 | 2019-05-31 | 乐普（北京）医疗器械股份有限公司 | Method and device for self-learning dynamic electrocardiography analysis employing artificial intelligence |
| CN108449201A (en) * | 2018-02-05 | 2018-08-24 | 中国工程物理研究院计算机应用研究所 | A kind of evaluation method of Intranet business data flow security management and control efficiency |
| CN109255028A (en) * | 2018-08-28 | 2019-01-22 | 西安交通大学 | Quality of instruction integrated evaluating method based on teaching evaluation data reliability |
| CN109636181A (en) * | 2018-12-11 | 2019-04-16 | 北京首汽智行科技有限公司 | A kind of user credit divides calculation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9836524B2 (en) | Internal linking co-convergence using clustering with hierarchy | |
| US9411859B2 (en) | External linking based on hierarchical level weightings | |
| US20150052153A1 (en) | Identifying One or More Relevant Social Networks for One or More Collaboration Artifacts | |
| US10554679B2 (en) | Abusive traffic detection | |
| CN108388582A (en) | The mthods, systems and devices of related entities for identification | |
| US9002941B2 (en) | Determining recommended recipients of a communication | |
| US11562029B2 (en) | Dynamic query processing and document retrieval | |
| US9331973B1 (en) | Aggregating content associated with topics in a social network | |
| CN114357117A (en) | Transaction information query method and device, computer equipment and storage medium | |
| Mukkamala et al. | Towards a formal model of social data | |
| Bornmann et al. | Overlay maps based on M endeley data: The use of altmetrics for readership networks | |
| US20190012310A1 (en) | Method and device for providing notes by using artificial intelligence-based correlation calculation | |
| CN111046052B (en) | Method, device and equipment for storing operation records in database | |
| CN113934851A (en) | Data enhancement method and device for text classification and electronic equipment | |
| CN108550019A (en) | A kind of resume selection method and device | |
| CN111259975B (en) | Method and device for generating classifier and method and device for classifying text | |
| WO2023078078A1 (en) | Unified data security labeling framework | |
| CN111177280A (en) | Data authority evaluation method and device | |
| US10963490B2 (en) | Text extraction and processing | |
| CN113157964A (en) | Method and device for searching data set through voice and electronic equipment | |
| CN112015982A (en) | Customized news generation method, device, equipment and storage medium | |
| CN113761213A (en) | Data query system and method based on knowledge graph and terminal equipment | |
| Ma et al. | Personal digital library: PIM through a 5S perspective | |
| CN111488484B (en) | Song recommendation method, medium and device based on class index distribution and TF-IDF characteristics | |
| Bourgeois et al. | Data and Databases |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200519 |