CN109002548A - A kind of couple of multi-user carries out the method and system of big data analysis - Google Patents
A kind of couple of multi-user carries out the method and system of big data analysis Download PDFInfo
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- CN109002548A CN109002548A CN201810855619.9A CN201810855619A CN109002548A CN 109002548 A CN109002548 A CN 109002548A CN 201810855619 A CN201810855619 A CN 201810855619A CN 109002548 A CN109002548 A CN 109002548A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses the method and system that a kind of couple of multi-user carries out big data analysis, comprising: collects first group of data from user equipment associated with multiple users；Hierarchical structure relevant to tentation data transaction is established between the multiple user by using first group of data；Multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request are aggregated into individual data mechanism of exchange；The multiple multidimensional multi-source data request is reduced by redistributing the activation data set shared by similar data processing mechanism；The integrality of second group of data is compared with predetermined threshold using data point.
Description
Technical field
The present invention relates to big data technical fields, and the side of big data analysis is carried out in particular to a kind of couple of multi-user
Method and system.
Background technique
The strategic importance of data technique, which is not lain in, grasps huge data information, and is to these containing significant data
Carry out specialized process.In other words, if big data is compared to a kind of industry, this industry realizes the key of profit,
It is to improve " working ability " to data, " increment " of data is realized by " processing ".Technically, big data and cloud meter
The relationship of calculation is inseparable just as the front and back sides of one piece of coin.Big data necessarily can not be at the computer of separate unit
Reason, it is necessary to use distributed structure/architecture.Its characteristic is to carry out distributed data digging to mass data.But it must rely on cloud
Distributed treatment, distributed data base and the cloud storage of calculating, virtualization technology.With the arriving of cloud era, big data (Big
Data more and more concerns) have also been attracted.Big data (Big data) is commonly used to describe that a company creates a large amount of non-
Structural data and semi-structured data, these data are downloading to relevant database for meeting overspending time when analyzing
And money.Big data analysis is often linked together with cloud computing, because large data set analysis is needed as MapReduce in real time
The same frame shares out the work to tens of, hundreds of or even thousands of computers.Existing big data classification method can not be to big
Data are effectively classified, and cause big data retrieval inconvenient.
Summary of the invention
The invention proposes the methods that a kind of couple of multi-user carries out big data analysis, comprising:
First group of data is collected from user equipment associated with multiple users；
Level relevant to tentation data transaction is established between the multiple user by using first group of data
Structure；
By multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request polymerization
At individual data mechanism of exchange；
The multiple multidimensional multi-source is reduced by redistributing the activation data set shared by similar data processing mechanism
Request of data；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
A) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its
Combination；With
B) level determines the final composition of the subset of the multiple user, so as to second group of data
The request of the equipment of lower level user is using the receiving of more high-level user as condition.
The method, wherein the parameter selected from the group being made of the following terms by inquiry is described complete to enhance
Property: title difference, geographical location difference, activity variance, the use of alias, while same account is used, while setting using multiple
Standby, multiple users are simultaneously using same equipment and combinations thereof.
The method, the installation that there is the data acquisition system quality selected from the group including the following terms to control:
User is shared by the electronics wearable technology verifying that proximity data layer is classified to generate based on user's degree of approach flag data
User between neighbouring account switching.
The method further includes that at least institute is triggered described in the multiple user when receiving second group of data
State the compensation function of subset.
The method, the compensation function of at least described subset of the multiple user are from including following
The dependence form data selected in the group of item: authority distribution manages data, uses data, leases data, leases data and its group
It closes.
The method tests the location-based polymerization of the subset of the multiple user.
The method further includes that dealing administrative mechanism is provided by agent data platform.
The system that a kind of couple of multi-user carries out big data analysis, comprising:
At least one processor；It include the non-transitory computer-readable medium of computer program code at least one；
At least one described non-transitory computer-readable medium and the computer program code be configured as with it is described at least one
Processor makes the system set the following operation of at least execution together:
First group of data is collected from user equipment associated with multiple users；
Level relevant to tentation data transaction is established between the multiple user by using first group of data
Structure；
By multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request polymerization
At individual data mechanism of exchange；
The multiple multidimensional multi-source is reduced by redistributing the activation data set shared by similar data processing mechanism
Request of data；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
E) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its
Combination；With
F) level determines the final composition of the subset of the multiple user, so as to second group of data
The request of the equipment of lower level user is using the receiving of higher levels user as condition.
Detailed description of the invention
From following description with reference to the accompanying drawings it will be further appreciated that the present invention.Component in figure is not drawn necessarily to scale,
But it focuses on and shows in the principle of embodiment.In the figure in different views, identical appended drawing reference is specified to be corresponded to
Part.
Fig. 1 is the schematic diagram for the method that kind of the invention carries out big data analysis to multi-user.
Specific embodiment
In order to enable the objectives, technical solutions, and advantages of the present invention are more clearly understood, below in conjunction with embodiment, to this
Invention is further elaborated；It should be appreciated that described herein, the specific embodiments are only for explaining the present invention, and does not have to
It is of the invention in limiting.To those skilled in the art, after access is described in detail below, other systems of the present embodiment
System, method and/or feature will become obvious.All such additional systems, method, feature and advantage are intended to be included in
It in this specification, is included within the scope of the invention, and by the protection of the appended claims.In description described in detail below
The other feature of the disclosed embodiments, and these characteristic roots will be apparent according to described in detail below.
Embodiment one.
As shown in Figure 1, proposing the method that a kind of couple of multi-user carries out big data analysis for the present embodiment, comprising:
First group of data is collected from user equipment associated with multiple users；
Level relevant to tentation data transaction is established between the multiple user by using first group of data
Structure；
By multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request polymerization
At individual data mechanism of exchange；
The multiple multidimensional multi-source is reduced by redistributing the activation data set shared by similar data processing mechanism
Request of data；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
A) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its
Combination；With
B) level determines the final composition of the subset of the multiple user, so as to second group of data
The request of the equipment of lower level user is using the receiving of more high-level user as condition.
The method, wherein the parameter selected from the group being made of the following terms by inquiry is described complete to enhance
Property: title difference, geographical location difference, activity variance, the use of alias, while same account is used, while setting using multiple
Standby, multiple users are simultaneously using same equipment and combinations thereof.
The method, the installation that there is the data acquisition system quality selected from the group including the following terms to control:
User is shared by the electronics wearable technology verifying that proximity data layer is classified to generate based on user's degree of approach flag data
User between neighbouring account switching.
The method further includes that at least institute is triggered described in the multiple user when receiving second group of data
State the compensation function of subset.
The method, the compensation function of at least described subset of the multiple user are from including following
The dependence form data selected in the group of item: authority distribution manages data, uses data, leases data, leases data and its group
It closes.
The method tests the location-based polymerization of the subset of the multiple user.
The method further includes that dealing administrative mechanism is provided by agent data platform.
Embodiment two.
The present embodiment provides the system that a kind of couple of multi-user carries out big data analysis, comprising:
At least one processor；It include the non-transitory computer-readable medium of computer program code at least one；
At least one described non-transitory computer-readable medium and the computer program code be configured as with it is described at least one
Processor makes the system set the following operation of at least execution together:
First group of data is collected from user equipment associated with multiple users；
Level relevant to tentation data transaction is established between the multiple user by using first group of data
Structure；
By multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request polymerization
At individual data mechanism of exchange；
The multiple multidimensional multi-source is reduced by redistributing the activation data set shared by similar data processing mechanism
Request of data；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
E) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its
Combination；With
F) level determines the final composition of the subset of the multiple user, so as to second group of data
The request of the equipment of lower level user is using the receiving of higher levels user as condition.
Embodiment three.
The present embodiment provides the system that a kind of couple of multi-user carries out big data analysis, and the system may be constructed such that independence
Computer system, comprising: at least one processor；It include the non-transitory computer of computer program code at least one
Readable medium；At least one described non-transitory computer-readable medium and the computer program code be configured as with it is described
At least one processor makes the system set the following operation of at least execution together: from user equipment associated with multiple users
Collect first group of data；It is established between the multiple user by using first group of data related to tentation data transaction
Hierarchical structure；Multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request are poly-
Synthesize individual data mechanism of exchange；It is described to reduce by redistributing the activation data set shared by similar data processing mechanism
Multiple multidimensional multi-source data requests；The integrality of second group of data is compared with predetermined threshold using data point,
In: e) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and combinations thereof；
And f) level determines the final composition of the subset of the multiple user, so as to the lower level of second group of data
The request of the equipment of user is using the receiving of higher levels user as condition.
A kind of method that big data analysis is carried out to multi-user suitable for the system is given herein, comprising: from
User equipment associated with multiple users collects first group of data；By using first group of data in the multiple user
Between establish relevant to tentation data transaction hierarchical structure；By second group of at least one subset from the multiple user
Multiple multidimensional and the multi-source request of data aggregate into individual data mechanism of exchange；By redistributing by similar data processing mechanism
Shared activation data set is requested to reduce the multiple multidimensional multi-source data；Using data point by the complete of second group of data
Whole property is compared with predetermined threshold, in which: a) predetermined threshold is determined by parameter selected from the group below: geographic factor, population
Statistical parameter, behavioral parameters and combinations thereof；And b) level determines the final composition of the subset of the multiple user, makes
Obtaining is using the receiving of more high-level user as condition to the request of the equipment of the lower level user of second group of data.It is described
Method, wherein the parameter selected from the group being made of the following terms by inquiry enhances the integrality: title difference,
Geographical location difference, activity variance, the use of alias, while same account is used, while using multiple equipment, multiple users are same
When using same equipment and combinations thereof.The method, the data acquisition system have from include the following terms group in select
The installation of quality control: being verified by the electronics wearable technology that proximity data layer is classified, to be based on user's degree of approach reference numerals
According to generation, the neighbouring account switching between the user of user is shared.The method further includes receiving second group of number
According to when trigger the compensation function of at least described subset described in the multiple user.The method, the institute of the multiple user
The compensation function for stating at least described subset is the dependence form data selected from the group including the following terms: authority distribution
Data are managed, using data, lease data, lease data and combinations thereof.The method tests the described of the multiple user
The location-based polymerization of subset.The method further includes that dealing administrative mechanism is provided by agent data platform.
Although describing the present invention by reference to various embodiments above, but it is to be understood that of the invention not departing from
In the case where range, many changes and modifications can be carried out.Therefore, be intended to foregoing detailed description be considered as it is illustrative and
It is unrestricted, and it is to be understood that following following claims (including all equivalents) is intended to limit spirit and model of the invention
It encloses.The above embodiment is interpreted as being merely to illustrate the present invention rather than limit the scope of the invention.It is reading
After the content of record of the invention, technical staff can be made various changes or modifications the present invention, these equivalence changes and
Modification equally falls into the scope of the claims in the present invention.
Claims (8)
1. the method that a kind of couple of multi-user carries out big data analysis characterized by comprising
First group of data is collected from user equipment associated with multiple users；
Hierarchical structure relevant to tentation data transaction is established between the multiple user by using first group of data；
Multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request are aggregated into list
A data mechanism of exchange；
The multiple multidimensional multi-source data is reduced by redistributing the activation data set shared by similar data processing mechanism
Request；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
A) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its group
It closes；With
B) level determines the final composition of the subset of the multiple user, so that the lower level to second group of data is used
The request of the equipment at family is using the receiving of more high-level user as condition.
2. the method as described in claim 1, which is characterized in that wherein selected from the group being made of the following terms by inquiry
Parameter enhance the integrality: title difference, geographical location difference, activity variance, the use of alias, while using same
Account, while multiple equipment is used, multiple users are simultaneously using same equipment and combinations thereof.
3. method according to claim 2, which is characterized in that the data acquisition system has to be selected from the group including the following terms
The installation for the quality control selected: being verified by the electronics wearable technology that proximity data layer is classified, to be based on user close to scale
Numeration shares the neighbouring account switching between the user of user according to generation.
4. method according to claim 2, which is characterized in that further include when receiving second group of data triggering described in
The compensation function of at least described subset of multiple users.
5. method as claimed in claim 4, which is characterized in that the benefit of at least described subset of the multiple user
Repaying function is the dependence form data selected from the group including the following terms: authority distribution manages data, uses data, lease
Data, lease data and combinations thereof.
6. the method as described in claim 1, which is characterized in that test the location-based of the subset of the multiple user
Polymerization.
7. the method as described in claim 1, which is characterized in that further include providing dealing supervisor by agent data platform
System.
8. the system that a kind of couple of multi-user carries out big data analysis characterized by comprising
At least one processor；It include the non-transitory computer-readable medium of computer program code at least one；It is described
At least one non-transitory computer-readable medium and the computer program code are configured as and at least one described processing
Device makes the system set the following operation of at least execution together:
First group of data is collected from user equipment associated with multiple users；
Hierarchical structure relevant to tentation data transaction is established between the multiple user by using first group of data；
Multiple multidimensional of second group of data of at least one subset from the multiple user and multi-source request are aggregated into list
A data mechanism of exchange；
The multiple multidimensional multi-source data is reduced by redistributing the activation data set shared by similar data processing mechanism
Request；
The integrality of second group of data is compared with predetermined threshold using data point, in which:
E) predetermined threshold is determined by parameter selected from the group below: geographic factor, demographic parameters, behavioral parameters and its group
It closes；With
F) level determines the final composition of the subset of the multiple user, so that the lower level to second group of data is used
The request of the equipment at family is using the receiving of higher levels user as condition.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810855619.9A CN109002548A (en) | 2018-07-31 | 2018-07-31 | A kind of couple of multi-user carries out the method and system of big data analysis |
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| CN201810855619.9A CN109002548A (en) | 2018-07-31 | 2018-07-31 | A kind of couple of multi-user carries out the method and system of big data analysis |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220245151A1 (en) * | 2021-01-29 | 2022-08-04 | Veeva Systems Inc. | Method and System for Performing Data Cloud Operations |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105893522A (en) * | 2016-03-30 | 2016-08-24 | 电子科技大学 | System for developing, generating and managing large-data analysis model business |
| US20180144378A1 (en) * | 2015-01-18 | 2018-05-24 | Alejandro Evaristo Perez | Method, system, and apparatus for managing focus groups |
-
2018
- 2018-07-31 CN CN201810855619.9A patent/CN109002548A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180144378A1 (en) * | 2015-01-18 | 2018-05-24 | Alejandro Evaristo Perez | Method, system, and apparatus for managing focus groups |
| CN105893522A (en) * | 2016-03-30 | 2016-08-24 | 电子科技大学 | System for developing, generating and managing large-data analysis model business |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220245151A1 (en) * | 2021-01-29 | 2022-08-04 | Veeva Systems Inc. | Method and System for Performing Data Cloud Operations |
| US11620290B2 (en) * | 2021-01-29 | 2023-04-04 | Veeva Systems Inc. | Method and system for performing data cloud operations |
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Application publication date: 20181214 |