CN108628878A - Data recovery method and device - Google Patents
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Abstract
The invention discloses a kind of data recovery method and devices, belong to technical field of data processing.Method includes：Obtain the failure telephone number of user；In the multi-data source fused data comprising failure telephone number, the location track of each telephone number is determined；The matching degree between failure telephone number and each non-failed telephone number is determined according to the location track of each telephone number；The effective telephone-number of user is determined from non-failed telephone number according to matching degree.The present invention obtains the failure telephone number of user；In the multi-data source fused data comprising failure telephone number, the location track of each telephone number is determined；The matching degree between failure telephone number and each non-failed telephone number is determined according to the location track of each telephone number；The effective telephone-number for determining user from non-failed telephone number according to matching degree, ensures to obtain accurate effective telephone-number in the case where telephone number fails so that even if critical data item lacks, business still can be normally carried out.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of data recovery method and device.
Background technology
In the industry of a certain data item of strong depend-ence, the missing of the data item can seriously affect the progress of regular traffic.
For example, in financial industry, once the behaviors such as loan defaults, original contact method failure of the user occur for user.And financial machine
Structure carries out bad credit and recovers business strong depend-ence contact method, and therefore, the missing of contact method can seriously affect financial institution's progress
Bad credit is recovered.For the situation, how to find that user is new, effective contact method, is the key that can carry out bad credit to recover.
Existing data recovery method is identity-based card number, is found and the matched valid telephone number of the identification card number
Code.
But if other certificate acquiring mobile phone cards of user, existing way will be unable to find matched with the identification card number
Effective telephone-number.
Invention content
In order to solve problems in the prior art, an embodiment of the present invention provides a kind of data recovery method and devices.It is described
Technical solution is as follows：
In a first aspect, a kind of data recovery method is provided, the method includes：
Obtain the failure telephone number of user；
In the multi-data source fused data comprising the failure telephone number, the location track of each telephone number is determined；
It is determined between the failure telephone number and each non-failed telephone number according to the location track of each telephone number
Matching degree；
The effective telephone-number of the user is determined from non-failed telephone number according to the matching degree.
Optionally, the multi-data source data are carrier data source data and Unionpay's data source data；The operator
Data source data and Unionpay's data source data include telephone number data item；The phone of the carrier data source data
The value of number data item includes the failure telephone number, and/or, the telephone number data item of Unionpay's data source data
Value includes the failure telephone number；
It is described comprising it is described failure telephone number multi-data source fused data in, determine the position rail of each telephone number
Before mark, further include：
Based on the value of the telephone number data item, carrier data source data and Unionpay's data source data are merged.
Optionally, the multi-data source fused data includes location data items, data obtaining time data item；
It is described comprising it is described failure telephone number multi-data source fused data in, determine the position rail of each telephone number
Mark, including：
From multi-data source fused data, the value that garbled data obtains time data item is located in the first preset time period
Subdata；
In subdata, for any value of telephone number data item, determine that its is corresponding every the second preset time period
After the value of each position data item, the determined number of each value of location data items is counted, in due order by the different value of location data items
Number sorts from big to small, the position rail of the values of the forward preset quantity location data items of selected and sorted as any value
Mark.
Optionally, first preset time period is the previous moon according to current time, and second preset time period is
Half an hour, the preset quantity are 10.
Optionally, the location track according to each telephone number determines the failure telephone number and each non-failed phone
Matching degree between number, including：
The matching degree of the failure telephone number and any non-failed telephone number is calculated by following formula：
Optionally, the valid telephone number for determining the user from non-failed telephone number according to the matching degree
Code, including：
The non-failed telephone number for being more than or equal to predetermined threshold value with the matching degree of the failure telephone number is determined as institute
State the effective telephone-number of user.
Optionally, the predetermined threshold value is 0.25.
Second aspect, provides a kind of data prosthetic device, and described device includes：
Acquisition module, the failure telephone number for obtaining user；
First determining module, in the multi-data source fused data comprising the failure telephone number, determining each electricity
Talk about the location track of number；
Second determining module, for determining the failure telephone number and each non-mistake according to the location track of each telephone number
Imitate the matching degree between telephone number；
Third determining module, effective electricity for determining the user from non-failed telephone number according to the matching degree
Talk about number；
Wherein, the multi-data source data are carrier data source data and Unionpay's data source data；The operation quotient
It include telephone number data item according to source data and Unionpay's data source data；The phone number of the carrier data source data
The value of code data item includes the failure telephone number, and/or, the value of the telephone number data item of Unionpay's data source data
Including the failure telephone number；
Described device further includes：
Fusion Module is used for the value based on the telephone number data item, merges carrier data source data and Unionpay's number
According to source data.
Optionally, the multi-data source fused data includes location data items, data obtaining time data item；
First determining module, for from multi-data source fused data, garbled data to obtain the value of time data item
Subdata in the first preset time period；It is pre- every second for any value of telephone number data item in subdata
If after the period determines the value of its corresponding each position data item, the determined number of each value of location data items is counted, by position
The different value for setting data item sorts from big to small by number, the value conduct of the forward preset quantity location data items of selected and sorted
The location track of any value；
Wherein, first preset time period is the previous moon according to current time, and second preset time period is half
Hour, the preset quantity is 10.
Optionally, second determining module, for by following formula calculate the failure telephone number with it is any non-
The matching degree of failure telephone number：
The third determining module, for the non-of predetermined threshold value will to be more than or equal to the matching degree of the failure telephone number
Failure telephone number is determined as the effective telephone-number of the user；
Wherein, the predetermined threshold value is 0.25.
The advantageous effect that technical solution provided in an embodiment of the present invention is brought is：
Obtain the failure telephone number of user；In the multi-data source fused data comprising failure telephone number, determine each
The location track of telephone number；Failure telephone number and each non-failed telephone number are determined according to the location track of each telephone number
Between matching degree；The effective telephone-number for determining user from non-failed telephone number according to matching degree, ensures in phone number
Accurate effective telephone-number is obtained in the case of code failure so that even if critical data item lacks, business still can be normal
It carries out.
Description of the drawings
Fig. 1 is a kind of data recovery method flow diagram that one embodiment of the invention provides；
Fig. 2 is another data recovery method flow diagram that another embodiment of the present invention provides；
Fig. 3 is a kind of data prosthetic device structural schematic diagram that another embodiment of the present invention provides；
Fig. 4 is another data prosthetic device structural schematic diagram that another embodiment of the present invention provides.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
In financial industry, once the behaviors such as loan defaults, original contact method failure of the user occur for user.And it is financial
Mechanism carries out bad credit and recovers business strong depend-ence contact method, therefore, the missing of contact method can seriously affect financial institution into
Row bad credit is recovered.For the situation, how to find that user is new, effective contact method, is that can carry out the pass that bad credit is recovered
Key.Existing data recovery method is identity-based card number, is found and the matched effective telephone-number of the identification card number.But
It is if that, other certificate acquiring mobile phone cards of user, existing way will be unable to find and the matched valid telephone number of the identification card number
Code.
Based on this, the present invention provides a kind of data recovery method, and this method can obtain the failure telephone number of user；
Including in the multi-data source fused data of failure telephone number, the location track of each telephone number is determined；According to each telephone number
Location track determine failure telephone number and each non-failed telephone number between matching degree；According to matching degree from non-failed electricity
The effective telephone-number for determining user in number is talked about, ensures to obtain accurate valid telephone number in the case where telephone number fails
Code so that even if critical data item lacks, business still can be normally carried out.
The present embodiment shown in Figure 1 present embodiments provides a kind of data recovery method, side provided in this embodiment
Method flow is specific as follows：
101, obtain the failure telephone number of user.
102, in the multi-data source fused data comprising failure telephone number, determine the location track of each telephone number.
103, it is determined between failure telephone number and each non-failed telephone number according to the location track of each telephone number
Matching degree.
104, the effective telephone-number of user is determined from non-failed telephone number according to matching degree.
Optionally, multi-data source data are carrier data source data and Unionpay's data source data；Carrier data source number
According to including telephone number data item with Unionpay data source data；The value packet of the telephone number data item of carrier data source data
Failure telephone number is included, and/or, the value of the telephone number data item of Unionpay's data source data includes failure telephone number；
In the multi-data source fused data comprising failure telephone number, before the location track for determining each telephone number,
Further include：
Based on the value of telephone number data item, carrier data source data and Unionpay's data source data are merged.
Optionally, multi-data source fused data includes location data items, data obtaining time data item；
In the multi-data source fused data comprising failure telephone number, the location track of each telephone number is determined, including：
From multi-data source fused data, the value that garbled data obtains time data item is located in the first preset time period
Subdata；
In subdata, for any value of telephone number data item, determine that its is corresponding every the second preset time period
After the value of each position data item, the determined number of each value of location data items is counted, in due order by the different value of location data items
Number sorts from big to small, the location track of the values of the forward preset quantity location data items of selected and sorted as any value.
Optionally, the first preset time period is the previous moon according to current time, and the second preset time period is half an hour, in advance
If quantity is 10.
Optionally, it is determined between failure telephone number and each non-failed telephone number according to the location track of each telephone number
Matching degree, including：
The matching degree of failure telephone number and any non-failed telephone number is calculated by following formula：
Optionally, the effective telephone-number of user is determined from non-failed telephone number according to matching degree, including：
The non-failed telephone number for being more than or equal to predetermined threshold value with the matching degree of failure telephone number is determined as user's
Effective telephone-number.
Optionally, predetermined threshold value 0.25.
Method provided in this embodiment obtains the failure telephone number of user；In the most evidences for including failure telephone number
In the fused data of source, the location track of each telephone number is determined；Failure phone number is determined according to the location track of each telephone number
Matching degree between code and each non-failed telephone number；Effective electricity of user is determined from non-failed telephone number according to matching degree
Number is talked about, ensures to obtain accurate effective telephone-number in the case where telephone number fails so that even if critical data item lacks
It loses, business still can be normally carried out.
In order to clearly illustrate a kind of data recovery method of above-described embodiment offer, in conjunction in above-described embodiment
Hold, by taking the embodiment being illustrated in fig. 2 shown below as an example, a kind of data recovery method is described in detail.Referring to Fig. 2, the present embodiment
The method flow of offer is specific as follows：
201, merge multi-data source data.
Wherein, multi-data source data are carrier data source data and Unionpay's data source data.
Carrier data source data and Unionpay's data source data include telephone number data item.And carrier data source number
According to telephone number data item value include failure telephone number, and/or, the telephone number data item of Unionpay's data source data
Value includes failure telephone number.
In addition, carrier data source data further includes location data items and data acquisition time data item.
Specific fusion process includes but not limited to, based on the value of telephone number data item, fusion carrier data source number
According to Unionpay's data source data.Specifically, telephone number is merged to main ID (Identity, mark) the most, main ID is identical
Carrier data source data and Unionpay's data source data permeate data.
For example, carrier data source data is shown in table 1, Unionpay's data source data is shown in table 2, and the data after fusion are
Shown in table 3.
Table 1
| Telephone number | Position | Data obtaining time |
| 11111111111 | A | 2017-2-4 10:30 |
| 11111111111 | B | 2017-2-5 11:00 |
| 11111111111 | C | 2017-2-5 11:30 |
| 2222222222 | A | 2017-2-6 11:00 |
| 2222222222 | B | 2017-2-6 11:30 |
| 2222222222 | C | 2017-2-6 10:00 |
| 2222222222 | D | 2017-2-7 12:00 |
| 2222222222 | A | 2017-2-7 12:30 |
| 3333333333 | D | 2017-2-5 12:00 |
| 4444444444 | A | 2017-1-30 11:00 |
Table 2
| Telephone number | Unionpay's card number |
| 11111111111 | 9999999999999999 |
Table 3
| Telephone number | Position | Data obtaining time | Unionpay's card number |
| 11111111111 | A | 2017-2-4 10:30 | 9999999999999999 |
| 11111111111 | B | 2017-2-5 11:00 | 9999999999999999 |
| 11111111111 | C | 2017-2-5 11:30 | 9999999999999999 |
| 2222222222 | A | 2017-2-6 11:00 | - |
| 2222222222 | B | 2017-2-6 11:30 | - |
| 2222222222 | C | 2017-2-6 10:00 | - |
| 2222222222 | D | 2017-2-7 12:00 | - |
| 2222222222 | A | 2017-2-7 12:30 | - |
| 3333333333 | D | 2017-2-5 12:00 | - |
| 4444444444 | A | 2017-1-30 11:00 | - |
202, obtain the failure telephone number of user.
This step can obtain the failure telephone number of the user of input.
203, in the multi-data source fused data comprising failure telephone number, determine the location track of each telephone number.
The carrier data source data merged in step 201 includes that telephone number data item, location data items and data obtain
Take time data item.Unionpay's data source data includes telephone number data item.Therefore, in the multi-data source fused data after fusion
Also include telephone number data item, location data items and data acquisition time data item.Based on this, the specific implementation side of this step
Formula can be：
1, from multi-data source fused data, the value that garbled data obtains time data item is located in the first preset time period
Subdata.
2, in subdata, for any value of telephone number data item, its correspondence is determined every the second preset time period
Each position data item value after, count the determined number of each value of location data items, the different value of location data items pressed
Number sorts from big to small, the location track of the values of the forward preset quantity location data items of selected and sorted as any value.
The present embodiment is not defined the value of the first preset time period, the second preset time period and preset quantity.Example
Such as, the first preset time period is the previous moon according to current time, and the second preset time period is half an hour, preset quantity 10.
Using multi-data source fused data as data shown in table 3, failure telephone number is 11111111111, current time
For 2017-3-5, the first preset time period is the previous moon according to current time, i.e. 2017-2-5 to 2017-3-5, second is default
Period is half an hour, for preset quantity is 10.
1, from multi-data source fused data shown in table 3, the value that garbled data obtains time data item is located at 2017-2-
Subdata in 5 to 2017-3-5, as shown in table 4.
Table 4
| Telephone number | Position | Data obtaining time | Unionpay's card number |
| 11111111111 | A | 2017-2-4 10:30 | 9999999999999999 |
| 11111111111 | B | 2017-2-5 11:00 | 9999999999999999 |
| 11111111111 | C | 2017-2-5 11:30 | 9999999999999999 |
| 2222222222 | A | 2017-2-6 11:00 | - |
| 2222222222 | B | 2017-2-6 11:30 | - |
| 2222222222 | C | 2017-2-6 10:00 | - |
| 2222222222 | D | 2017-2-7 12:00 | - |
| 2222222222 | A | 2017-2-7 12:30 | - |
| 3333333333 | D | 2017-2-5 12:00 | - |
2, in the subdata shown in table 4, for any value of telephone number data item, its correspondence is determined every half an hour
Each position data item value after, count the determined number of each value of location data items, the different value of location data items pressed
Number sorts from big to small, the location track of the values of 10 forward location data items of selected and sorted as any value.
Specifically, in table 4, telephone number data item has 3 values, respectively 11111111111,2222222222 and
3333333333。
(1) for 11111111111, the value of its corresponding each position data item is determined every half an hour, as shown in table 5.
Table 5
| Telephone number | Position | Data obtaining time | Unionpay's card number |
| 11111111111 | A | 2017-2-4 10:30 | 9999999999999999 |
| 11111111111 | B | 2017-2-5 11:00 | 9999999999999999 |
| 11111111111 | C | 2017-2-5 11:30 | 9999999999999999 |
It is 1 time that statistics position data entry value, which is the determined number of data on the ground A, position data entry value for the ground B data
Determined number is 1 time, and position data entry value is that the determined number of data on the ground C is 1 time.By the difference of location data items
Value sorts from big to small by number, the value A of 10 forward location data items of selected and sorted, B and the conduct of the ground C
11111111111 location track.
(2) for 2222222222, the value of its corresponding each position data item is determined every half an hour, as shown in table 6.
Table 6
| Telephone number | Position | Data obtaining time | Unionpay's card number |
| 2222222222 | A | 2017-2-6 11:00 | - |
| 2222222222 | B | 2017-2-6 11:30 | - |
| 2222222222 | C | 2017-2-6 10:00 | - |
| 2222222222 | D | 2017-2-7 12:00 | - |
| 2222222222 | A | 2017-2-7 12:30 | - |
It is 2 times that statistics position data entry value, which is the determined number of data on the ground A, position data entry value for the ground B data
Determined number is 1 time, and position data entry value is that the determined number of data on the ground C is 1 time, and position data entry value is for D
The determined number of data be 1 time.The different value of location data items is sorted from big to small by number, and (position data entry value is
A, position data entry value be B, position data entry value be C, position data entry value be D), forward 10 of selected and sorted
The value A of location data items, B, C and D as 2222222222 location track.
(3) for 3333333333, the value of its corresponding each position data item is determined every half an hour, as shown in table 7.
Table 7
| Telephone number | Position | Data obtaining time | Unionpay's card number |
| 3333333333 | D | 2017-2-5 12:00 | - |
Statistics position data entry value is that the determined number of data on the ground D is 1 time.In due order by the different value of location data items
Number sort from big to small, the value D of 10 forward location data items of selected and sorted as 3333333333 location track.
204, it is determined between failure telephone number and each non-failed telephone number according to the location track of each telephone number
Matching degree.
Specifically, the matching degree of failure telephone number and any non-failed telephone number can be calculated by following formula：
By taking the example in step 204 as an example,
(1) failure telephone number 11111111111 and the matching degree of non-failed telephone number 2222222222 are：
(2) failure telephone number 11111111111 and the matching degree of non-failed telephone number 3333333333 are：
205, the effective telephone-number of user is determined from non-failed telephone number according to matching degree.
The specific implementation of this step, including but not limited to：It is pre- by being more than or equal to the matching degree of failure telephone number
If the non-failed telephone number of threshold value is determined as the effective telephone-number of user.
The present embodiment is not defined the specific value of predetermined threshold value, for example, predetermined threshold value is 0.25.
By taking the example in step 204 and predetermined threshold value are 0.25 as an example, 11111111111 and 2222222222 matching degree
Matching degree for 0.75,11111111111 and 3333333333 be 0,0.75 be more than 0.25, so 2222222222 are determined as
The effective telephone-number of user.
Through the above steps, it in the case of being lacked in old phone number, is unavailable, invalid, obtains available, effective
New cell-phone number, realize reparation to legacy data, i.e. information reparation.Information reparation is even more important in financial industry, a side
Face is that credit carries out collection to lost contact user, is on the one hand that the mechanisms such as insurance repair user information so as to actively seek
Pin.By the real name data of operator, upload ID card information, match currently available phone number, by outgoing call mode into
Row, which touches, to be reached.
Method provided in this embodiment obtains the failure telephone number of user；In the most evidences for including failure telephone number
In the fused data of source, the location track of each telephone number is determined；Failure phone number is determined according to the location track of each telephone number
Matching degree between code and each non-failed telephone number；Effective electricity of user is determined from non-failed telephone number according to matching degree
Number is talked about, ensures to obtain accurate effective telephone-number in the case where telephone number fails so that even if critical data item lacks
It loses, business still can be normally carried out.
Embodiment shown in Fig. 3 provides a kind of data prosthetic device, and the device is for executing shown in above-mentioned Fig. 1 or Fig. 2
Data recovery method, referring to Fig. 3, which includes：
Acquisition module 301, the failure telephone number for obtaining user；
First determining module 302, in the multi-data source fused data comprising failure telephone number, determining each phone
The location track of number；
Second determining module 303, for determining failure telephone number and each non-mistake according to the location track of each telephone number
Imitate the matching degree between telephone number；
Third determining module 304, the valid telephone number for determining user from non-failed telephone number according to matching degree
Code；
Wherein, multi-data source data are carrier data source data and Unionpay's data source data；Carrier data source data
It include telephone number data item with Unionpay data source data；The value of the telephone number data item of carrier data source data includes
Fail telephone number, and/or, the value of the telephone number data item of Unionpay's data source data includes failure telephone number；
Referring to Fig. 4, which further includes：
Fusion Module 305 is used for the value based on telephone number data item, merges carrier data source data and Unionpay's data
Source data.
Optionally, multi-data source fused data includes location data items, data obtaining time data item；
First determining module 302, for from multi-data source fused data, garbled data to obtain the value position of time data item
Subdata in the first preset time period；It is default every second for any value of telephone number data item in subdata
After period determines the value of its corresponding each position data item, the determined number of each value of location data items is counted, by position
The different value of data item sorts from big to small by number, and the value of the forward preset quantity location data items of selected and sorted, which is used as, appoints
The location track of one value；
Wherein, the first preset time period is the previous moon according to current time, and the second preset time period is half an hour, is preset
Quantity is 10.
Optionally, the second determining module 303, for calculating failure telephone number and any non-failed electricity by following formula
Talk about the matching degree of number：
Third determining module, for the non-failed phone of predetermined threshold value will to be more than or equal to the matching degree of failure telephone number
Number is determined as the effective telephone-number of user；
Wherein, predetermined threshold value 0.25.
Device provided in this embodiment obtains the failure telephone number of user；In the most evidences for including failure telephone number
In the fused data of source, the location track of each telephone number is determined；Failure phone number is determined according to the location track of each telephone number
Matching degree between code and each non-failed telephone number；Effective electricity of user is determined from non-failed telephone number according to matching degree
Number is talked about, ensures to obtain accurate effective telephone-number in the case where telephone number fails so that even if critical data item lacks
It loses, business still can be normally carried out.
It should be noted that：One of ordinary skill in the art will appreciate that realizing all or part of step of above-described embodiment
It can be completed by hardware, relevant hardware can also be instructed to complete by program, the program can be stored in one
In kind computer readable storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of data recovery method, which is characterized in that the method includes：
Obtain the failure telephone number of user；
In the multi-data source fused data comprising the failure telephone number, the location track of each telephone number is determined；
The matching between the failure telephone number and each non-failed telephone number is determined according to the location track of each telephone number
Degree；
The effective telephone-number of the user is determined from non-failed telephone number according to the matching degree.
2. according to the method described in claim 1, it is characterized in that, the multi-data source data be carrier data source data and
Unionpay's data source data；The carrier data source data and Unionpay's data source data include telephone number data item；
The value of the telephone number data item of the carrier data source data includes the failure telephone number, and/or, Unionpay's number
Value according to the telephone number data item of source data includes the failure telephone number；
It is described comprising it is described failure telephone number multi-data source fused data in, determine each telephone number location track it
Before, further include：
Based on the value of the telephone number data item, carrier data source data and Unionpay's data source data are merged.
3. according to the method described in claim 2, it is characterized in that, the multi-data source fused data include location data items,
Data obtaining time data item；
It is described to determine the location track of each telephone number in the multi-data source fused data comprising the failure telephone number,
Including：
From multi-data source fused data, the value that garbled data obtains time data item is located at the subnumber in the first preset time period
According to；
In subdata, for any value of telephone number data item, every the second preset time period determine its it is corresponding everybody
After setting the value of data item, count the determined number of each value of location data items, by the different value of location data items by number from
Arrive small sequence greatly, the location track of the values of the forward preset quantity location data items of selected and sorted as any value.
4. according to the method described in claim 3, it is characterized in that, first preset time period is according to the previous of current time
A month, second preset time period was half an hour, and the preset quantity is 10.
5. according to the method described in claim 4, it is characterized in that, described according to described in the determination of the location track of each telephone number
The matching degree to fail between telephone number and each non-failed telephone number, including：
The matching degree of the failure telephone number and any non-failed telephone number is calculated by following formula：
6. according to the method described in claim 5, it is characterized in that, it is described according to the matching degree from non-failed telephone number
Determine the effective telephone-number of the user, including：
The non-failed telephone number for being more than or equal to predetermined threshold value with the matching degree of the failure telephone number is determined as the use
The effective telephone-number at family.
7. according to the method described in claim 6, it is characterized in that, the predetermined threshold value is 0.25.
8. a kind of data prosthetic device, which is characterized in that described device includes：
Acquisition module, the failure telephone number for obtaining user；
First determining module, in the multi-data source fused data comprising the failure telephone number, determining each phone number
The location track of code；
Second determining module, for determining the failure telephone number and each non-failed electricity according to the location track of each telephone number
Talk about the matching degree between number；
Third determining module, the valid telephone number for determining the user from non-failed telephone number according to the matching degree
Code；
Wherein, the multi-data source data are carrier data source data and Unionpay's data source data；The carrier data source
Data and Unionpay's data source data include telephone number data item；The phone number yardage of the carrier data source data
Value according to item includes the failure telephone number, and/or, the value of the telephone number data item of Unionpay's data source data includes
The failure telephone number；
Described device further includes：
Fusion Module is used for the value based on the telephone number data item, merges carrier data source data and Unionpay's data source
Data.
9. device according to claim 8, which is characterized in that the multi-data source fused data include location data items,
Data obtaining time data item；
First determining module, for from multi-data source fused data, the value that garbled data obtains time data item to be located at
Subdata in first preset time period；In subdata, for any value of telephone number data item, when second is default
Between after section determines the value of its corresponding each position data item, the determined number of each value of location data items is counted, by positional number
It sorts from big to small by number according to the different value of item, described in the value conduct of the forward preset quantity location data items of selected and sorted
The location track of any value；
Wherein, first preset time period is the previous moon according to current time, and second preset time period is half an hour,
The preset quantity is 10.
10. device according to claim 9, which is characterized in that second determining module, by by based on following formula
Calculate the matching degree of the failure telephone number and any non-failed telephone number：
The third determining module, for the non-failed of predetermined threshold value will to be more than or equal to the matching degree of the failure telephone number
Telephone number is determined as the effective telephone-number of the user；
Wherein, the predetermined threshold value is 0.25.
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