CN109376203A - Data classification method, device, terminal device and storage medium - Google Patents
Data classification method, device, terminal device and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of data classification method, device, terminal device and storage mediums.This method comprises: choosing any one data in data to be sorted, and it is based on any one data, first object auxiliary data is obtained in auxiliary data, first object auxiliary data is auxiliary data directly corresponding with any one data, has logical relation between data and auxiliary data to be sorted；According to target auxiliary data, obtain target data to be sorted, target data to be sorted be with target auxiliary data directly corresponding data to be sorted, target auxiliary data be auxiliary data directly corresponding with target data to be sorted, target auxiliary data includes first object auxiliary data；Any one data and all targets data to be sorted are divided into same class data.The technical solution of the embodiment of the present invention can be improved the integrity degree of the result of data classification.
Description
Technical field
The present invention relates to electronic information technical field more particularly to a kind of data classification method, device, terminal device and deposit
Storage media.
Background technique
With the development of information technology, data processing becomes one of the technology paid close attention to.In one field, often
There is a large amount of scattered data.In order to analyze a large amount of data, need first to classify to data.
In the prior art, often classify for the same feature to data, for example, collecting location is identical
Data are divided into one kind.But the relationship between data is often more complicated, for example, the relationship between two data can pass through
Relationship between multiple data is established.And classified according to the same feature, it is possible that omitting, so as to cause data point
The integrity degree of the result of class is lower.
Summary of the invention
The embodiment of the invention provides a kind of data classification method, device, terminal device and storage mediums, can be improved number
According to the integrity degree of the result of classification.
In a first aspect, the embodiment of the invention provides a kind of data classification methods, comprising: choose and appoint in data to be sorted
It anticipates a data, and is based on any one data, first object auxiliary data, first object supplementary number are obtained in auxiliary data
According to for auxiliary data directly corresponding with any one data, there is logical relation between data and auxiliary data to be sorted；Root
According to target auxiliary data, obtain target data to be sorted, target data to be sorted be with target auxiliary data it is directly corresponding to
Classification data, target auxiliary data are auxiliary data directly corresponding with target data to be sorted, and target auxiliary data includes the
One target auxiliary data；Any one data and all targets data to be sorted are divided into same class data.
Second aspect, the embodiment of the invention provides a kind of device for classifying data, comprising: target auxiliary data obtains mould
Block for choosing any one data in data to be sorted, and is based on any one data, first is obtained in auxiliary data
Target auxiliary data, first object auxiliary data be auxiliary data directly corresponding with any one data, data to be sorted with
There is logical relation between auxiliary data；Target data acquisition module to be sorted, for obtaining target according to target auxiliary data
Data to be sorted, target data to be sorted are to be with target auxiliary data directly corresponding data to be sorted, target auxiliary data
Auxiliary data directly corresponding with target data to be sorted, target auxiliary data include first object auxiliary data；Categorization module,
For any one data and all targets data to be sorted to be divided into same class data.
The third aspect, the embodiment of the invention provides a kind of terminal device, memory and processor；Memory is for storing
Executable program code；Processor is for reading the executable program code stored in memory to execute the technology of first aspect
Data classification method in scheme.
Fourth aspect is stored with computer program on storage medium and refers to the embodiment of the invention provides a kind of storage medium
It enables；The data classification method in the technical solution of first aspect is realized when computer program instructions are executed by processor.
The embodiment of the present invention provides a kind of data classification method, device, terminal device and storage medium, by with it is to be sorted
Data have an auxiliary data of logical relation, and target auxiliary data directly corresponding with target data to be sorted, obtain with
The directly corresponding target data to be sorted of target auxiliary data.To get any one number in data to be sorted with selection
According to all data (i.e. all target data to be sorted) with indirect relation.To obtain any one of sorted selection
Complete classification results where data, improve the integrity degree of the result of data classification.
Detailed description of the invention
The present invention may be better understood from the description with reference to the accompanying drawing to a specific embodiment of the invention wherein,
The same or similar appended drawing reference indicates the same or similar feature.
Fig. 1 is a kind of flow chart of data classification method in one embodiment of the invention；
Fig. 2 is the schematic diagram of data classification result in one embodiment of the invention；
Fig. 3 is a kind of flow chart of data classification method in another embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of device for classifying data in the embodiment of the present invention；
Fig. 5 is a kind of exemplary hardware architecture figure of terminal device in the embodiment of the present invention.
Specific embodiment
The feature and exemplary embodiment of various aspects of the invention is described more fully below.In following detailed description
In, many details are proposed, in order to provide complete understanding of the present invention.But to those skilled in the art
It will be apparent that the present invention can be implemented in the case where not needing some details in these details.Below to implementation
The description of example is used for the purpose of providing by showing example of the invention and better understanding of the invention.The present invention never limits
In any concrete configuration set forth below and algorithm, but cover under the premise of without departing from the spirit of the present invention element,
Any modification, replacement and the improvement of component and algorithm.In the the accompanying drawings and the following description, well known structure and skill is not shown
Art is unnecessary fuzzy to avoid causing the present invention.
The embodiment of the invention provides a kind of data classification method, device, terminal device and storage medium, can be applied to pair
Data are classified, to obtain complete sorted result.Particularly with a fairly large number of data of Relationship Comparison complexity, originally
The effect of inventive embodiments becomes apparent.In embodiments of the present invention, data can for user, shops, supplier, partner,
Commodity, project etc., do not limit herein.
Fig. 1 is a kind of flow chart of data classification method in one embodiment of the invention.As shown in Figure 1, the data classification side
Method may include step S101 to step S103.
In step s101, any one data is chosen in data to be sorted, and is based on any one data, is being assisted
First object auxiliary data is obtained in data.
Wherein, data to be sorted are to be desired with the data of classification.Auxiliary data is and treats classification data and divided
The relevant data of condition based on class.There is logical relation between data and auxiliary data to be sorted, do not limit patrol herein
The type for the relationship of collecting.For example, data to be sorted are commodity, auxiliary data is shops, then between data and auxiliary data to be sorted
Logical relation be sale relationship.For another example, data to be sorted be shops, auxiliary data is partner, then data to be sorted with
Logical relation between auxiliary data is cooperative relationship.
Above-mentioned first object auxiliary data is directly corresponding with this any one data chosen in data to be sorted
Auxiliary data.Here it is directly corresponding with indirectly it is corresponding relatively.For example, data A is corresponding with data B, data B is corresponding with data C,
Then think that data A and data B are directly corresponding, data A and data C are indirectly corresponding.
In step s 102, according to target auxiliary data, target data to be sorted are obtained.
Wherein, target data to be sorted are and target auxiliary data directly corresponding data to be sorted.Target auxiliary data
For auxiliary data directly corresponding with target data to be sorted.That is, target auxiliary data and target data to be sorted are straight
Connect correspondence.Due to the relationship between data to be sorted and auxiliary data there may be multi-to-multi.Therefore need to carry out several wheels to mesh
The acquisition for marking auxiliary data and target data to be sorted can just obtain a kind of complete data in data to be sorted.It needs to illustrate
, in the acquisition of same wheel target auxiliary data and target data to be sorted, target auxiliary data and target number to be sorted
According to directly corresponding.In the acquisition of different wheel target auxiliary datas and target data to be sorted, target auxiliary data is waited for target
Classification data is possible to direct correspondence, it is also possible to indirectly corresponding.
Target auxiliary data includes first object auxiliary data.
In step s 103, any one data and all targets data to be sorted are divided into same class data
All targets data to be sorted obtained in step s 102 be all and any one data have contact (
Connect relationship) data to be sorted.This any one data is same class with all data to be sorted with this any one number number
Data.Without direct corresponding relationship between other data in this obtained same class data and data to be sorted, also without indirectly right
It should be related to.
For example, Fig. 2 is the schematic diagram of data classification result in one embodiment of the invention.As shown in Fig. 2, setting data to be sorted
Including 6 shops, respectively shops 1 to shops 6.Auxiliary data includes 4 partners, respectively partner 1 to partner 4.
Arrow between shops and partner indicates directly corresponding relationship.It can be obtained from Fig. 2, if any one of data decimation to be sorted
Data are shops 1, then target auxiliary data includes partner 1, partner 2 and partner 3.Target data to be sorted include shops
2, shops 3 and shops 4.Then shops 1, shops 2, shops 3 and shops 4 can be divided into same class.
It should be noted that while obtaining this kind of data where any one data, all target supplementary numbers
According to also can be used as a kind of data, i.e., also complete the classification of auxiliary data.For example, as shown in Fig. 2, partner 1,2 and of partner
Partner 3 can also be divided into one kind.
In embodiments of the present invention, it by having the auxiliary data of logical relation with data to be sorted, and waits for target
The directly corresponding target auxiliary data of classification data obtains target data to be sorted directly corresponding with target auxiliary data.From
And getting has all data of indirect relation with any one data of selection (i.e. all targets waits for point in data to be sorted
Class data).To obtain the complete classification results where any one data of sorted selection, data classification is improved
Result integrity degree.
Moreover, the data classification method in through the embodiment of the present invention, can will have stronger in a large amount of data to be sorted
The data of connection are divided into one kind.It, can be to subsequent number since the data in every one kind have compared with strong tie after the completion of classification
Better support is played according to analysis.That is, analyzing sorted data, result is more preferably analyzed.
In some instances, above-mentioned logical relation may include desired relationship.Pass under desired relationship user's desired conditions
System.That is, logical relation can be set according to the expectation demand of specific works scene and user.For example, user's expectation is examined
The shops cooperated with same class partner is examined, then settable desired relationship is cooperative relationship.Shops can be chosen as number to be sorted
According to partner is as auxiliary data.For another example, user it is expected to investigate the commodity of same class client purchase, then settable expectation is closed
System is purchase relationship.Commodity can be chosen as data to be sorted, client is as auxiliary data.
A kind of specific implementation of data classification method will be described in detail below.Fig. 3 is in another embodiment of the present invention
A kind of flow chart of data classification method.As shown in figure 3, data classification method may include step S201 to step S209.
In step s 201, any one data is chosen in data to be sorted, and is based on any one data, is being assisted
First object auxiliary data is obtained in data.
The related description of step S201 can be found in the related content of the step S101 in above-described embodiment, no longer superfluous herein
It states.
In step S202, according to first object auxiliary data, first object number to be sorted is obtained in data to be sorted
According to.
Wherein, first object data to be sorted are and first object auxiliary data directly corresponding data to be sorted.
In step S203, according to first object data to be sorted, the second target auxiliary data is obtained in auxiliary data.
Wherein, the second target auxiliary data is auxiliary data directly corresponding with first object data to be sorted.
In step S204, until directly corresponding not to be sorted with N target auxiliary data in data to be sorted
Data, using first object data to be sorted to N-1 target data to be sorted as all targets data to be sorted.
Wherein, N is the positive integer greater than 1.
In step S205, until the supplementary number directly not corresponding with M target data to be sorted in auxiliary data
According to using first object data to be sorted to M target data to be sorted as all targets data to be sorted.
Wherein, M is the positive integer greater than 1.
It should be noted that can continue after executing step S201 to step S203 according to the second target auxiliary data, to
The second target data to be sorted are obtained in classification data.Second target data to be sorted are directly corresponding with the second auxiliary data
Data to be sorted.And so on, until obtained in data to be sorted less than with this any one number for being chosen in step S201
Until according to similar data to be sorted, the data to be sorted of class where showing this any one data chosen in step S201 are
It is complete through obtaining.
In actual operation, will in data to be sorted not with N target auxiliary data directly corresponding number to be sorted
According to alternatively, section that auxiliary data directly not corresponding with M target data to be sorted is classified as one in auxiliary data
Only condition.
In step S206, any one data and all targets data to be sorted are divided into same class data.
The related description of step S206 can be found in the related content of step S103 in above-described embodiment, and details are not described herein.
In step S207, initial number of any one data as new class is chosen in non-classified data to be sorted
According to obtaining the corresponding target auxiliary data of primary data of new class.
After a kind of data acquisition is complete.If there is also non-classified data to be sorted, in non-classified number to be sorted
Primary data according to middle any one data of selection as new class.
In step S208, according to the corresponding target auxiliary data of the primary data of new class, the initial of new class is obtained
The corresponding target of data data to be sorted.
It is in step S209, the primary data of new class all targets corresponding with the primary data of new class are to be sorted
Data are divided into same class data.
Where obtaining the primary data of new class in non-classified data to be sorted by step S208 and step S209
One kind in all data.Step S208 and step S209 and step S102 in above-described embodiment to step S103 and step
S202 is similar to step S207, and related description can be found in above-described embodiment step S102 to step S103 and step S202 extremely
The related content of step S207, details are not described herein.
It will be illustrated below with a specific example.As shown in Fig. 2, data to be sorted include shops 1 to shops 6, auxiliary
Data include partner 1 to partner 4.It should be noted that it is whether directly corresponding between shops and partner, it can be according to preparatory
Register information or according between shops and partner commodity circulation direction determine, do not limit herein.
Firstly, any one data chosen are shops 1, then first object directly corresponding with shops 1 can be obtained and assist
Data include partner 2 and partner 3.Partner 2 is without direct corresponding shops.The directly corresponding first object of partner 3
Data to be sorted include shops 4.The directly corresponding second target auxiliary data of shops 4 includes partner 1.Partner 1 is directly right
The the second target number to be sorted answered includes shops 2 and shops 3.Shops 2 and shops 3 are without corresponding shops.Where shops 1
A kind of data classification is completed, including shops 1, shops 2, shops 3 and shops 4.Shops 5 is chosen in shops 5 and shops 6, is obtained
With shops 5 directly corresponding first object auxiliary data include partner 4.The directly corresponding first object of partner 4 is to be sorted
Data include shops 6.A kind of data classification where shops 5 is completed, including shops 5 and shops 6.
Similarly, a kind of data where partner 1 include partner 1, partner 2 and partner 3.4 self-contained one of partner
Class.
In the examples described above, there are the corresponding relationships of multi-to-multi between shops and partner.The partner that shops can be related to,
And the shops that partner can be related to, there is stronger connection.Classified according to this stronger connection to shops or partner, point
Data after class analyze subsequent data, for example (Business Development, BD) analysis of strategies, conjunction are expanded in commercial affairs
Make pursuit-evasion strategy analysis, business intelligence (Business Intelligence, BI) analysis of strategies and important trade company (Key
Account, KA) analysis of strategies etc., it is capable of providing and more preferably supports, more preferably analyzed result.
Fig. 4 is a kind of structural schematic diagram of device for classifying data in the embodiment of the present invention.As shown in figure 4, data classification fills
Setting 300 may include that target auxiliary data obtains module 301, target data acquisition module 302 to be sorted and categorization module 303.
Target auxiliary data obtains module 301, for choosing any one data in data to be sorted, and based on any
One data obtains first object auxiliary data in auxiliary data.
Wherein, first object auxiliary data is auxiliary data directly corresponding with any one data.Data to be sorted with
There is logical relation between auxiliary data.
Target data acquisition module 302 to be sorted, for obtaining target data to be sorted according to target auxiliary data.
Wherein, target data to be sorted are and target auxiliary data directly corresponding data to be sorted.Target auxiliary data
For auxiliary data directly corresponding with target data to be sorted.Target auxiliary data includes first object auxiliary data.
Categorization module 303, for any one data and all targets data to be sorted to be divided into same class data.
In embodiments of the present invention, it by having the auxiliary data of logical relation with data to be sorted, and waits for target
The directly corresponding target auxiliary data of classification data obtains target data to be sorted directly corresponding with target auxiliary data.From
And getting has all data of indirect relation with any one data of selection (i.e. all targets waits for point in data to be sorted
Class data).To obtain the complete classification results where any one data of sorted selection, data classification is improved
Result integrity degree.
In some instances, above-mentioned target data acquisition module 302 to be sorted is specifically used for according to first object supplementary number
According to the acquisition first object data to be sorted in data to be sorted.
Wherein, first object data to be sorted are and first object auxiliary data directly corresponding data to be sorted；
Target auxiliary data obtains module 301, is specifically used for being obtained in auxiliary data according to first object data to be sorted
Take the second target auxiliary data.
Wherein, the second target auxiliary data is auxiliary data directly corresponding with first object data to be sorted.
Target data acquisition module 302 to be sorted is specifically used for until not assisting with N target in data to be sorted
Data directly corresponding data to be sorted, using first object data to be sorted to N-1 target data to be sorted as all mesh
Mark data to be sorted.
Alternatively, target data acquisition module 302 to be sorted, be specifically used for until in auxiliary data not with M target
The directly corresponding auxiliary data of data to be sorted, using first object data to be sorted to M target data to be sorted as all
Target data to be sorted.
Wherein, N and M is the positive integer greater than 1.
In some instances, above-mentioned target auxiliary data obtains module 301, is also used in non-classified data to be sorted
Primary data of any one data as new class is chosen, the corresponding target auxiliary data of primary data of new class is obtained.
Target data acquisition module 302 to be sorted is also used to the corresponding target supplementary number of primary data according to new class
According to obtaining the corresponding target of the primary data data to be sorted of new class.
Categorization module 303 is also used to the primary data of new class all targets corresponding with the primary data of new class
Data to be sorted are divided into same class data.
In some instances, logical relation includes desired relationship.
Fig. 5 be can be realized data classification method and device according to an embodiment of the present invention terminal device it is exemplary hard
Part architecture diagram.As shown in figure 5, terminal device 400 includes input equipment 401, input interface 402, central processing unit 403, storage
Device 404, output interface 405 and output equipment 406.Wherein, input interface 402, central processing unit 403, memory 404, with
And output interface 405 is connected with each other by bus 410, input equipment 401 and output equipment 406 pass through input interface 402 respectively
It connect with output interface 405 with bus 410, and then is connect with the other assemblies of terminal device 400.
Specifically, input equipment 401 is received from external input information, and will input information by input interface 402
It is transmitted to central processing unit 403；Central processing unit 403 is based on the computer executable instructions stored in memory 404 to input
Information is handled to generate output information, and output information is temporarily or permanently stored in memory 404, is then passed through
Output information is transmitted to output equipment 406 by output interface 405；Output information is output to terminal device 400 by output equipment 406
Outside for users to use.
That is, terminal device shown in fig. 5 also may be implemented as including: to be stored with computer executable instructions
Memory；And the data in above-described embodiment may be implemented when executing computer executable instructions for processor, the processor
Classification method and device.
The embodiment of the present invention also provides a kind of storage medium, is stored with computer program instructions on the storage media；The calculating
Machine program instruction realizes data classification method provided in an embodiment of the present invention when being executed by processor.
For example, computer program instructions can be code segment.For example, data to be sorted are shops, auxiliary data is partner,
The code segment that the data classification method in above-described embodiment then can be achieved is as follows:
But it should be recognized that the code segment that can be realized the data classification method in above-described embodiment includes being not limited to
Above-mentioned code segment.
Functional module shown in above structural block diagram can be implemented as hardware, software, firmware or their combination.
When realizing in hardware, electronic circuit, specific integrated circuit (ASIC), firmware appropriate, plug-in unit, function may, for example, be
Can block etc..When being realized with software mode, element of the invention is used to execute the program or code segment of required task.
Perhaps code segment can store in machine readable media program or the data-signal by carrying in carrier wave is in transmission medium
Or communication links are sent." storage medium " may include any medium for capableing of storage or transmission information.Storage medium
Example include electronic circuit, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disk, CD-ROM, CD,
Hard disk, fiber medium, radio frequency (RF) link, etc..Code segment can be via the computer network of internet, Intranet etc.
It is downloaded.
It should be clear that all the embodiments in this specification are described in a progressive manner, each embodiment it
Between the same or similar part may refer to each other, the highlights of each of the examples are it is different from other embodiments it
Place.For Installation practice, terminal device embodiment and storage medium embodiment, related place may refer to method implementation
The declaratives of example.The invention is not limited to particular step described above and shown in figure and structures.This field
Technical staff can be variously modified, modification and addition after understanding spirit of the invention, or between changing the step
Sequentially.Also, the detailed description to known method technology for brevity, is omitted here.
Claims (10)
1. a kind of data classification method characterized by comprising
It chooses any one data in data to be sorted, and based on any one described data, the is obtained in auxiliary data
One target auxiliary data, the first object auxiliary data are auxiliary data directly corresponding with any one described data, institute
Stating has logical relation between data to be sorted and the auxiliary data；
According to target auxiliary data, target data to be sorted are obtained, the target data to be sorted are and the target supplementary number
According to the direct corresponding data to be sorted, the target auxiliary data is institute directly corresponding with target data to be sorted
Auxiliary data is stated, the target auxiliary data includes first object auxiliary data；
Any one described data and all target data to be sorted are divided into same class data.
2. it is to be sorted to obtain target the method according to claim 1, wherein described according to target auxiliary data
Data, comprising:
According to the first object auxiliary data, first object data to be sorted are obtained in the data to be sorted, described the
One target data to be sorted be and the first object auxiliary data directly the corresponding data to be sorted；
According to first object data to be sorted, the second target auxiliary data is obtained in the auxiliary data, described second
Target auxiliary data be and first object data to be sorted directly the corresponding auxiliary data；
Until in the data to be sorted with the direct corresponding data to be sorted of N target auxiliary data, by described the
One target data to be sorted are to N-1 target data to be sorted as all target data to be sorted；Alternatively, until in institute
It states in auxiliary data not with the M target data to be sorted directly corresponding auxiliary data, the first object is waited for point
Class data are to M target data to be sorted as all target data to be sorted；
Wherein, N and M is the positive integer greater than 1.
3. the method according to claim 1, wherein the method also includes:
Primary data of any one data as new class is chosen in the non-classified data to be sorted, is obtained described new
A kind of corresponding target auxiliary data of primary data；
According to the corresponding target auxiliary data of the primary data of the new class, the primary data pair of the new class is obtained
The target data to be sorted answered；
By the primary data of the new class all target data to be sorted corresponding with the primary data of the new class
It is divided into same class data.
4. the method according to claim 1, which is characterized in that the logical relation includes that expectation is closed
System.
5. a kind of device for classifying data characterized by comprising
Target auxiliary data obtains module, for choosing any one data in data to be sorted, and based on described any one
A data, in auxiliary data obtain first object auxiliary data, the first object auxiliary data be with it is described any one
The directly corresponding auxiliary data of data has logical relation between the data to be sorted and the auxiliary data；
Target data acquisition module to be sorted, for obtaining target data to be sorted, the target is waited for according to target auxiliary data
Classification data be with the target auxiliary data directly the corresponding data to be sorted, the target auxiliary data be with it is described
The target data to be sorted directly corresponding auxiliary data, the target auxiliary data includes first object auxiliary data；
Categorization module, for any one described data and all target data to be sorted to be divided into same class data.
6. device according to claim 5, which is characterized in that
The target data acquisition module to be sorted is specifically used for according to the first object auxiliary data, described to be sorted
First object data to be sorted are obtained in data, the first object data to be sorted are straight with the first object auxiliary data
Connect the corresponding data to be sorted；
The target auxiliary data obtains module, is specifically used for according to first object data to be sorted, in the supplementary number
According to the second target auxiliary data of middle acquisition, the second target auxiliary data is directly right with first object data to be sorted
The auxiliary data answered；
The target data acquisition module to be sorted is specifically used for until auxiliary not with N target in the data to be sorted
Help data directly corresponding data to be sorted, using first object data to be sorted to N-1 target data to be sorted as
All target data to be sorted；
Alternatively, the target data acquisition module to be sorted, be specifically used for until in the auxiliary data not with M target
The data to be sorted directly corresponding auxiliary data, by first object data to be sorted to M target data to be sorted
As all target data to be sorted；
Wherein, N and M is the positive integer greater than 1.
7. device according to claim 5, which is characterized in that
The target auxiliary data obtains module, is also used to choose any one data in the non-classified data to be sorted
As the primary data of new class, the corresponding target auxiliary data of primary data of the new class is obtained；
The target data acquisition module to be sorted is also used to auxiliary according to the corresponding target of primary data of the new class
Data are helped, the corresponding target data to be sorted of primary data of the new class are obtained；
The categorization module is also used to the primary data of the new class is corresponding with the primary data of the new class all
The target data to be sorted are divided into same class data.
8. the device according to any one of claim 5 to 7, which is characterized in that the logical relation includes that expectation is closed
System.
9. a kind of terminal device, which is characterized in that memory and processor；
The memory is for storing executable program code；
The processor is used to read the executable program code stored in the memory and requires to appoint in 1 to 4 with perform claim
Data classification method described in meaning one.
10. a kind of storage medium, which is characterized in that be stored with computer program instructions on the storage medium；The computer
The data classification method as described in any one of Claims 1-4 is realized when program instruction is executed by processor.
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| CN105095915A (en) * | 2015-08-21 | 2015-11-25 | 努比亚技术有限公司 | Information processing method and information processing apparatus, terminal |
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