CN110297727A - Loan data backup method and system - Google Patents
Loan data backup method and system Download PDFInfo
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- CN110297727A CN110297727A CN201910493420.0A CN201910493420A CN110297727A CN 110297727 A CN110297727 A CN 110297727A CN 201910493420 A CN201910493420 A CN 201910493420A CN 110297727 A CN110297727 A CN 110297727A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1464—Management of the backup or restore process for networked environments
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- 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
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Abstract
The embodiment of the present application provides a kind of loan data backup method and system, it is related to field of terminal technology, wherein method includes: that server selects the client in multiple mobile terminals as backup client, each backup client backs up the loan data of other backup clients, each backup client obtains the behavioral data of other backup clients, and the behavior score of other backup clients is assessed according to behavioral data, server summarizes the behavior score of multiple backup client assessments, and handles each backup client according to behavior score.The application can reduce the cost of backup loan data.
Description
Technical field
This application involves field of communication technology more particularly to a kind of loan data backup method and systems.
Background technique
With the development of network technology, more and more data are completed to back up in a manner of through primary server, in order to keep away
It is impaired to exempt from primary server failure Backup Data, generally primary server configuration one or more is dedicated for the standby of backup
Part server, backs up the data on the primary server at any time.
In the multiple servers for constituting chain structure, it can be backed up by distributing, i.e., multiple servers back up mutually number
According to, but above-mentioned backup mode is at high cost.
Summary of the invention
The embodiment of the present application provides a kind of loan data backup method and system, can select multiple APP mutual by server
Mutually backup loan data solves the problems, such as high by decentralized service device backup cost.
The embodiment of the present application provides a kind of loan data backup method, comprising:
Server selects the client in multiple mobile terminals as backup client；
Each backup client backs up the loan data of other backup clients；
Each backup client obtains the behavioral data of other backup clients, and according to the behavior
The behavior score of other backup clients of data assessment；
The server summarizes the behavior score of the multiple backup client assessment, and according to the behavior score
Handle each backup client.
The embodiment of the present application also provides a kind of loan data standby systems, comprising:
Server and the mobile terminal for being built-in with backup client；
The server, for selecting the client in multiple mobile terminals as backup client；
The mobile terminal, for by built-in backup client the loan datas of other backup clients into
Row backup, and, the behavioral data of other backup clients is obtained, and other institutes are assessed according to the behavioral data
State the behavior score of backup client；
The server is also used to summarize the behavior score of the multiple backup client assessment, and according to described
The each backup client of behavior score processing.
The various embodiments described above select multiple client as backup client by server, and backup client is to other
The loan data of backup client is backed up, and the back-up job of server is shared using backup client, relatively completely using clothes
Device progress backup cost of being engaged in is lower, also, the client executing back-up job of only a part due to selection, occupied bandwidth
It is few.Further, backup client obtains the behavioral data of other backup clients, and assesses other according to behavioral data
The behavior score of backup client, convenient for server according to the behavior score of all backup clients assessment summarized, processing is every
A backup client, improves the working efficiency of backup client, and the operations such as backup, scoring are carried out more in backup client
It is convenient.
Detailed description of the invention
Fig. 1 is the application scenarios schematic diagram of loan data backup method provided by the embodiments of the present application；
Fig. 2 is the flow diagram of loan data backup method provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of loan data standby system provided by the embodiments of the present application.
Specific embodiment
To enable present invention purpose, feature, advantage more obvious and understandable, below in conjunction with the application
Attached drawing in embodiment, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described reality
Applying example is only some embodiments of the present application, and not all embodiments.Based on the embodiment in the application, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Referring to Fig. 1, Fig. 1 is the application scenarios schematic diagram of the loan data backup method in the present embodiment, and the present embodiment mentions
The loan data backup method of confession can be used for the data backup in the field of providing a loan.Wherein, primary server 10, can by network with it is multiple
Mobile terminal 20 connects, and is built-in with backup client (APP, application) in mobile terminal 20, mobile terminal 20 specifically may be used
To be mobile phone, tablet computer, intelligent wearable device etc..Primary server 10 randomly selects the backup in multiple mobile terminals 20
APP assists backup, and each backup APP backs up the preset data of other backups APP, which specifically can be loan
Amount of money evidence, the loan data include: provide a loan account information, the current loan amount of money, the current loan time, loan historical data and
The data relevant to loan such as historical data of refund, wherein the historical data of loan may include the loan gold occurred in the past
Volume and corresponding loan time；When the historical data of refund may include the repayment amount and corresponding refund occurred in the past
Between.The preset data volume can be any other data for needing to back up.Primary server 10 is also configured with one or more backups
Server 30 periodically obtains the data for needing to back up from primary server 10, prevents primary server 10 from damaging and causing data
It loses.
For purposes of illustration only, following embodiment is illustrated for backing up loan data, other kinds of data are backed up
It is identical as the principle of backup loan data and process.
Fig. 2 is referred to, the loan data backup method flow diagram provided for one embodiment of the application.This method can be with
This method comprises the following steps:
S201, server select the multiple client in mobile terminal as backup client；
Server in the present embodiment is primary server 10 shown in Fig. 1, and backup client is mobile terminal shown in Fig. 1
Backup APP in 20.
In the present embodiment, user registers by APP and applies that loan transaction, server are randomly selected from the APP of registration
Multiple APP are used as backup APP, assist server backup loan data.
It should be noted that server, which can be, to be randomly selected, later periodically can root when choosing backup APP for the first time
According to the online hours of backup APP and/or the User Status of backup APP, judge whether to need replacing backup APP.Server can be with
Obtain in real time be not chosen as backup APP's but the User Status of the online hours of chartered APP and/or APP, and it is current
The online hours and/or User Status of each backup APP compare, and online hours are longer and the better APP of User Status then may be used
The backup APP that online hours are short and User Status is bad can be substituted, be backed up as new backup APP assist server.
Server is that other are not that the data of the registered APP of backup APP are backed up.
The a part chosen in all registration APP is used as backup APP, can reduce the shared bandwidth of backup and capacity.
S202, each backup client back up the loan data of other backup clients；
In each backup APP in backup APP, backup has the loan data of other backups APP, can also back up other
The data of the needs such as the behavioral data of backup client backup.
S203, each backup client obtain the behavioral data of other backup clients, and are commented according to behavior data
Estimate the behavior score of other backup clients；
Behavioral data includes: the exercise data, online data, the use data of mobile terminal, affective state data of user
And physiological status data.
Wherein, the exercise data of user includes but is not limited to the start-stop of the walking of user, running, the movements such as swim and ride
The data such as time, movement duration, move distance, pass through timer, accelerator, the GPS of the mobile terminal that the user uses
Data such as (Global Positioning System) calculate user's according to related algorithms such as movement duration, move distances
Moving duration, move distance etc. indicates the data of amount of exercise.User movement amount is bigger, indicates that user's body situation is better, keeps
The physical condition of health.The exercise data of user is transmitted to mobile terminal after can also being obtained by intelligent wearable device.
Online data generally comprises the data such as line duration and the online hours of APP.The longer APP of online hours is preferably
Backup APP.Online data can be obtained from the network data that mobile terminal is collected.
Mobile terminal refers to that user uses the behavioral data of mobile terminal using data, when can specifically include switching on and shutting down
Between, the operating condition of each application program etc., can be by using this analyses of data, learning user, daily whether normal use is moved
Dynamic terminal.
Affective state data refer to the corresponding score of the emotional state of user, and good mood, can relative to bad mood
Higher score is obtained, different moods are pre-stored in the system of mobile terminal or back up from the corresponding relationship of different scores
In APP, the mode of affective state data acquisition is divided into following two:
First way: each backup APP initiates session to other backup APP to be assessed, is analyzed by session content
And the affective state data of backup APP are obtained, specifically, backup APP obtains session content, but is extracted from session content
The word directly related with mood, such as glad, happy, dejected, gloomy etc. are also possible in the context according to session indirectly
Mood is analyzed, and according to the corresponding relationship of the mood and score that pre-save, the corresponding score of the mood analyzed.
The second way: each backup APP to be assessed,
Each backup APP obtains the user's face image and voice document of other backup APP to be assessed, analyzes user
Face-image and voice document obtain the affective state data of backup APP.User's face image can be photo or video,
Voice document can be the passage that user reads aloud, and user's face image and voice document can also be replaced by one section of video
In generation, clearly shows the facial expression of user in the video, and user reads aloud passage in the video, by preset
Deep learning algorithm analyzes user's face image and voice document, confirms the mood of backup APP user, and according to pre-saving
Mood and score corresponding relationship, the corresponding score of the mood analyzed.
It should be noted that each backup APP is to be assessed relative to other backups APP in multiple backup APP
Backup APP.
Physiological status data refers to the data relevant to health such as the heartbeat of user, blood pressure, can be set by intelligence wearing
Mobile terminal is transmitted to after standby acquisition.For ease of calculation, year can be pre-saved in the system of mobile terminal or in backup APP
Age, physiological status data and different scores corresponding relationship, the age can inquire the correspondence to obtain in information input by user
The available all ages and classes of relationship, different heartbeats, the corresponding different scores of different blood pressures, the more healthy physiological status data of body
Score it is higher.
Further, each backup APP obtains the exercise data of other backup APP users to be assessed, online data, shifting
Use data, affective state data and the physiological status data of dynamic terminal, and it is corresponding pre- according to above-mentioned five kinds of data
If weighted value, weighted sum obtains the behavior score of other each backup APP to be assessed.Specifically, behavior score is calculated
(Score) formula is as follows:
Score=A × w1+L×w2+M×w3+B×w4+O×w5
Wherein, A indicates the exercise data of user, w1For the default weighted value of the exercise data of user；L is indicated in line number
According to w2For the default weighted value of online data；M indicates the use data of mobile terminal, w3The pre- of data is used for mobile terminal
If weighted value；B indicates the affective state data of user, w4For the default weighted value of the affective state data of user；O indicates user
Physiological status data, w5For the default weighted value of the physiological status data of user.
The setting of above each default weighted value is defined by system or user, and specific value is not limited in the present embodiment.
S204, server summarize the behavior score of multiple backup client assessments, and are handled often according to behavior score
A backup client.
Each backup APP calculates behavior score to other backups APP, and it is calculated that server summarizes all backup APP
Behavior score.
If the behavior score for having a backup APP is more than first threshold, increase for this backup APP with behavior score
Add at least any one in loan transaction permission, loan transaction amount and loan transaction virtual resource value.Wherein increase loan
Service authority refers to that backup APP sheet does not have this loan transaction permission, is newly assigned due to its behavior score is high by server
This loan transaction permission；Increase loan transaction amount and refer to backup APP inherently this loan transaction permission, still
Loan transaction amount is lower, imparts higher loan transaction amount by server due to its behavior score is high；Increase loan industry
The quasi- resource value that debates on matters of principle refers to that loan transaction virtual resource value original in backup APP is lower, bedding and clothing due to its behavior score is high
Business device imparts higher loan transaction virtual resource value.Loan transaction virtual resource value can be used for obtaining more loan industries
Permission of being engaged in and higher loan transaction amount.The backup APP high to behavior score carries out above-mentioned processing, and backup can be improved
The enthusiasm of APP user.
Further, server will be for the increased loan transaction permission of backup APP with behavior score, loan transaction volume
The corresponding data of at least any one in degree and loan transaction virtual resource value, are backed up on other backups APP, and will
The data are updated into the corresponding data of backup APP with behavior score, i.e., by other data of the data and backup APP
Corresponding to save, each backup APP corresponds to the data of itself.
Further, if behavior score is lower than second threshold, which is less than the first threshold, then by behavior point
The backup permission of the corresponding backup APP of number is cancelled, and the loan data saved in the backup APP for cancelling backup permission is sent to
There is the backup APP of backup permission to be backed up for other.That is, it is backup that the low backup APP of behavior score, which is changed to other not,
APP but chartered APP.The backup APP low to behavior score carries out above-mentioned processing, can change in time sluggish standby
Part APP, prevents from influencing to Backup Data.
In the present embodiment, select multiple client as backup client by server, backup client is standby to other
The loan data of part client is backed up, and the back-up job of server is shared using backup client, relatively completely using service
Device progress backup cost is lower, also, the client executing back-up job of only a part due to selection, occupied bandwidth are few.
Further, backup client obtains the behavioral data of other backup clients, and it is standby according to behavioral data to assess other
The behavior score of part client, convenient for server according to the behavior score of all backup clients assessment summarized, processing is each
Backup client, improves the working efficiency of backup client, and the operations such as backup, scoring are carried out more in backup client
It is convenient.
The embodiment of the present application also protects a kind of loan data standby system, and referring to Fig. 3, which includes
Server 301 and mobile terminal 302, wherein the built-in backup client as described in Fig. 2 embodiment in mobile terminal 302.
Server 301, for selecting the client in multiple mobile terminals 20 as backup client；
Mobile terminal 302, it is standby for being carried out by loan data of the built-in backup client to other backup clients
Part, and, the behavioral data of other backup clients is obtained, and according to the behavior of other backup clients of behavior data assessment
Score；
Server 301 is also used to summarize the behavior score of multiple backup clients assessment, and according to behavior score at
Manage each backup client.
Mobile terminal 302 is also used to obtain other backup client end subscribers to be assessed by built-in backup client
Exercise data, online data, the use data of mobile terminal, affective state data and physiological status data, and according to
Exercise data, online data, the use data of mobile terminal, affective state data and the physiological status data at family respectively correspond
Default weighted value, weighted sum obtains the behavior score of other each backup clients to be assessed.
Mobile terminal 302 is also used to initiate meeting to other backup clients to be assessed by built-in backup client
Words, analyze by session content and obtain the affective state data of backup client；
Mobile terminal 302 is also used to obtain the use of other backup clients to be assessed by built-in backup client
Family face-image and voice document analyze user's face image and voice document, obtain the affective state of backup client
Data.
Server 301, if being also used to behavior score more than first threshold, to increase with the backup client of behavior score
Add at least any one in loan transaction permission, loan transaction amount and loan transaction virtual resource value；If behavior score is low
In second threshold, then by the backup permission cancellation of the corresponding backup client of behavior score, and the backup of backup permission will be cancelled
The loan data of client is sent to other backup clients with backup permission and backs up, and second threshold is less than first threshold；
Server 301 is also used to be the increased loan transaction permission of backup client with behavior score, loan industry
The corresponding data of at least any one in amount of being engaged in and loan transaction virtual resource value, carry out standby in other backup clients
Part, and data are updated into the corresponding data of backup client with behavior score.
Detail in the present embodiment, referring to the description of aforementioned embodiment illustrated in fig. 2.
In the present embodiment, select multiple client as backup client by server, backup client is standby to other
The loan data of part client is backed up, and the back-up job of server is shared using backup client, relatively completely using service
Device progress backup cost is lower, also, the client executing back-up job of only a part due to selection, occupied bandwidth are few.
Further, backup client obtains the behavioral data of other backup clients, and it is standby according to behavioral data to assess other
The behavior score of part client, convenient for server according to the behavior score of all backup clients assessment summarized, processing is each
Backup client, improves the working efficiency of backup client, and the operations such as backup, scoring are carried out more in backup client
It is convenient.
Further, the embodiment of the present application also provides a kind of computer readable storage medium, the computer-readable storages
Medium can be in the mobile terminal being set in the various embodiments described above, specifically can be hard drive memory, non-volatile
Memory (such as flash memory or be used to form solid state drive other electronic programmable limit deletings memory etc.), volatibility
Memory (such as either statically or dynamically random access memory etc.) etc..Computer journey is stored on the computer readable storage medium
Sequence, the program realize that the data executed described in aforementioned embodiment illustrated in fig. 2 by backup client are standby when being executed by processor
Part method.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
The above are the descriptions to loan data backup method and loan data standby system provided herein, for this
The technical staff in field has change according to the thought of the embodiment of the present application in specific embodiments and applications
Place, to sum up, the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of loan data backup method characterized by comprising
Server selects the client in multiple mobile terminals as backup client；
Each backup client backs up the loan data of other backup clients；
Each backup client obtains the behavioral data of other backup clients, and according to the behavioral data
Assess the behavior score of other backup clients；
The server summarizes the behavior score of the multiple backup client assessment, and is handled according to the behavior score
Each backup client.
2. the method according to claim 1, wherein each backup client obtains other described institutes
The behavioral data of backup client is stated, and assesses the behavior score packet of other backup clients according to the behavioral data
It includes:
Each backup client obtains the exercise data of other backup client end subscribers to be assessed, in line number
According to, the use data of mobile terminal, affective state data and physiological status data, and according to the exercise data of the user,
Online data, the use data of mobile terminal, affective state data and the corresponding default weighted value of physiological status data,
Weighted sum obtains the behavior score of other each backup clients to be assessed.
3. according to the method described in claim 2, it is characterized in that, the method also includes:
Each backup client initiates session to other described backup clients to be assessed, simultaneously by session content analysis
Obtain the affective state data of the backup client.
4. according to the method described in claim 2, it is characterized in that, the method also includes:
Each backup client obtains the user's face image and voice text of other backup clients to be assessed
Part analyzes the user's face image and voice document, obtains the affective state data of the backup client.
5. the method according to claim 3 or 4, which is characterized in that described each described according to behavior score processing
Backup client includes:
If the behavior score is more than first threshold, to increase loan industry with the backup client of the behavior score
At least any one being engaged in permission, loan transaction amount and loan transaction virtual resource value；
If the behavior score is lower than second threshold, by the backup permission of the corresponding backup client of the behavior score
Cancel, and the loan data for cancelling the backup client of backup permission is sent to other institutes with backup permission
Backup client backup is stated, the second threshold is less than the first threshold.
If 6. according to the method described in claim 5, it is characterized in that, the behavior score be more than first threshold, for
The backup client with the behavior score increases loan transaction permission, loan transaction amount and loan transaction and virtually provides
Include: after at least any one in source value
The server will be for the increased loan transaction permission of backup client with the behavior score, described
The corresponding data of at least any one in loan transaction amount and the loan transaction virtual resource value, in other backups
It is backed up in client, and the data is updated into the corresponding data of backup client with the behavior score.
7. a kind of loan data standby system characterized by comprising
Server and the mobile terminal for being built-in with backup client；
The server, for selecting the client in multiple mobile terminals as backup client；
The mobile terminal, it is standby for being carried out by loan data of the built-in backup client other backup clients
Part, and, the behavioral data of other backup clients is obtained, and it is described standby according to the behavioral data to assess other
The behavior score of part client；
The server is also used to summarize the behavior score of the multiple backup client assessment, and according to the behavior
The each backup client of score processing.
8. loan data standby system as claimed in claim 7, which is characterized in that the mobile terminal is also used to by interior
The backup client set obtains exercise data, the online data, movement of other backup client end subscribers to be assessed
Use data, affective state data and the physiological status data of terminal, and according to the exercise data of the user, in line number
According to, the use data of mobile terminal, affective state data and the corresponding default weighted value of physiological status data, weighting ask
With obtain the behavior score of other each backup clients to be assessed.
9. data backup system as claimed in claim 8, which is characterized in that the mobile terminal is also used to by built-in
Backup client initiates session to other described backup clients to be assessed, is analyzed by session content and obtains the backup
The affective state data of client；
The mobile terminal is also used to obtain the use of other backup clients to be assessed by built-in backup client
Family face-image and voice document analyze the user's face image and voice document, obtain the backup client
Affective state data.
10. loan data standby system as claimed in claim 9, which is characterized in that the server, if being also used to the row
It is more than first threshold for score, then for the backup client of behavior score increase loan transaction permission, loan
At least any one in business amount and loan transaction virtual resource value；
If the behavior score is lower than second threshold, by the backup permission of the corresponding backup client of the behavior score
Cancel, and the loan data for cancelling the backup client of backup permission is sent to other institutes with backup permission
Backup client backup is stated, the second threshold is less than the first threshold；
By the increased loan transaction permission of backup client for described in the behavior score, the loan transaction volume
The corresponding data of at least any one in degree and the loan transaction virtual resource value, it is enterprising in other described backup clients
Row backup, and the data are updated into the corresponding data of backup client with the behavior score.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910493420.0A CN110297727A (en) | 2019-06-06 | 2019-06-06 | Loan data backup method and system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910493420.0A CN110297727A (en) | 2019-06-06 | 2019-06-06 | Loan data backup method and system |
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| CN110297727A true CN110297727A (en) | 2019-10-01 |
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| CN201910493420.0A Pending CN110297727A (en) | 2019-06-06 | 2019-06-06 | Loan data backup method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112688974A (en) * | 2019-10-17 | 2021-04-20 | 伊姆西Ip控股有限责任公司 | Method, apparatus and computer program product for managing backup systems |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102065138A (en) * | 2010-12-22 | 2011-05-18 | 上海锐起信息技术有限公司 | Method for realizing thermal backup control of servers in disk-less system |
| CN104125294A (en) * | 2014-08-06 | 2014-10-29 | 四川九成信息技术有限公司 | Method and system for big data safety management |
| CN104503866A (en) * | 2014-12-11 | 2015-04-08 | 安徽师范大学 | Data backup system, data backup method and backup data recovery method |
| CN105678619A (en) * | 2016-01-07 | 2016-06-15 | 中国联合网络通信集团有限公司 | Loan amount evaluation method and device |
| CN109165840A (en) * | 2018-08-20 | 2019-01-08 | 平安科技（深圳）有限公司 | Risk profile processing method, device, computer equipment and medium |
| CN109670103A (en) * | 2018-12-14 | 2019-04-23 | 深圳中兴飞贷金融科技有限公司 | Data grab method and device |
-
2019
- 2019-06-06 CN CN201910493420.0A patent/CN110297727A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102065138A (en) * | 2010-12-22 | 2011-05-18 | 上海锐起信息技术有限公司 | Method for realizing thermal backup control of servers in disk-less system |
| CN104125294A (en) * | 2014-08-06 | 2014-10-29 | 四川九成信息技术有限公司 | Method and system for big data safety management |
| CN104503866A (en) * | 2014-12-11 | 2015-04-08 | 安徽师范大学 | Data backup system, data backup method and backup data recovery method |
| CN105678619A (en) * | 2016-01-07 | 2016-06-15 | 中国联合网络通信集团有限公司 | Loan amount evaluation method and device |
| CN109165840A (en) * | 2018-08-20 | 2019-01-08 | 平安科技（深圳）有限公司 | Risk profile processing method, device, computer equipment and medium |
| CN109670103A (en) * | 2018-12-14 | 2019-04-23 | 深圳中兴飞贷金融科技有限公司 | Data grab method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112688974A (en) * | 2019-10-17 | 2021-04-20 | 伊姆西Ip控股有限责任公司 | Method, apparatus and computer program product for managing backup systems |
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