CN206209712U - A kind of data mining device, application server and server cluster - Google Patents
A kind of data mining device, application server and server cluster Download PDFInfo
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- CN206209712U CN206209712U CN201621214369.3U CN201621214369U CN206209712U CN 206209712 U CN206209712 U CN 206209712U CN 201621214369 U CN201621214369 U CN 201621214369U CN 206209712 U CN206209712 U CN 206209712U
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Abstract
This application discloses a kind of data mining device, application server and server cluster, data mining device, it is connected with data digging system, data digging system includes the first cluster with first server and the second cluster with second server, first server is configured with the first mining model based on ILog regulation engines, the second server is configured with the second mining model based on SAS, and device includes：Request receiving interface is used to receive the data mining request for including request type；Requests classification device is used to classify data mining request；First coffret is used for request type as the data mining request of quick response type is transferred to the first cluster, and data mining is carried out to data using the first mining model by first server, obtains the first Result；Second coffret carries out data mining treatment using the second mining model by second server for not being that the data mining request of quick response type is transferred to second cluster by data type to data, obtains the second Result.
Description
Technical field
The application is related to data mining technology field, more particularly to a kind of data mining device, application server and service
Device cluster.
Background technology
With the development of science and technology, the fast development of business intelligence and big data technology are maked rapid progress, big data
Value is increasingly taken seriously, and particularly banking system can accumulate the business number of magnanimity during its routine work is handled
According to, data mining is carried out using these big datas, Result can be widely applied to client's marketing, products perfection, wind
The numerous areas such as dangerous management and control, have great importance for lifting core competitiveness.
Thus, a kind of implementation that effectively can be excavated to data in real time is needed badly.
Utility model content
In view of this, the purpose of the application is to provide a kind of data mining device, application server and server cluster, uses
With the technical problem for solving in real time effectively to excavate data in the prior art.
This application provides a kind of data mining device, it is connected with data digging system, the data digging system bag
The first cluster and the second cluster are included, first cluster includes multiple first servers, and second cluster includes multiple
Second server, the first server is configured with the first mining model, the second server base based on ILog regulation engines
The second mining model, described device bag are configured with SAS (STATISTICAL ANALYSIS SYSTEM, statistical analysis system)
Include：
Request receiving interface, for receiving at least one data mining request, at least includes in the data mining request
Request type；
Requests classification device, for being classified based on its request type to data mining request；
First coffret, for the data mining request that request type is quick response type to be transferred into described first
Cluster, is based on data mining request and utilizes the first mining model logarithm by the first server in first cluster
Data mining is carried out according to the data in source, the first Result is obtained；
Second coffret, the data mining request for by data type not being quick response type is transferred to described the
Two clusters, are based on data mining request and utilize second mining model pair by the second server in second cluster
Data in data source carry out data mining treatment, obtain the second Result.
Said apparatus, it is preferred that also include：
Result returns to interface, for after first Result and second Result is obtained, by described in
First Result and second Result are returned.
Said apparatus, it is preferred that also include：
As a result memory interface, for first Result and second Result to be stored.
Said apparatus, it is preferred that also include：
3rd coffret, for after first Result and second Result is obtained, by described in
First Result and second Result are transferred to second cluster, by the second server in second cluster
Cross validation is carried out to first Result and second Result using second mining model.
Said apparatus, it is preferred that also include：
4th coffret, for first mining model to be transferred into second cluster, by second cluster
In second server carry out model training and checking using second mining model.
Present invention also provides a kind of application server, the application server is connected with data digging system, described
Data digging system includes the first cluster and the second cluster, and first cluster includes multiple first servers, described second
Cluster includes multiple second servers, and the first server is configured with the first mining model, institute based on ILog regulation engines
State second server and the second mining model is configured with based on SAS；
Wherein, set in the application server and filled just like the data mining described in any one in Claims 1 to 5
Put, the data mining device cluster is used to receive at least one data mining request, is at least wrapped in the data mining request
Request type is included, data mining request is classified based on its request type, be quick response type by request type
Data mining request be transferred to first cluster, by the first server in first cluster be based on the data mining
Request carries out data mining using first mining model to the data in data source, obtains the first Result, and by number
Be not according to type quick response type data mining request be transferred to second cluster, by second in second cluster
Server is based on data mining request to be carried out at data mining using second mining model to the data in data source
Reason, obtains the second Result.
Present invention also provides a kind of server cluster, including multiple above-mentioned application servers, also include：
Data digging system, the data digging system includes：First cluster and the second cluster, wrap in first cluster
Multiple first servers are included, second cluster includes multiple second servers, and the first server is based on ILog rules
Engine is configured with the first mining model, and the second server is configured with the second mining model based on SAS；
Wherein, the first server is used for based on data mining request using first mining model in data source
Data carry out data mining, obtain the first Result；
The second server is used for based on data mining request using second mining model to the number in data source
According to data mining treatment is carried out, the second Result is obtained.
Above-mentioned server cluster, it is preferred that also include：Load-balanced server, wherein：
The load-balanced server, for according to the current load condition of application server in the server cluster,
Data mining request is sent in the server cluster on the application server for meeting default load balancing condition.
From such scheme, a kind of data mining device, application server and server cluster that the application is provided lead to
Cross in ILog clusters and SAS cluster configurations to same system, so as to when receiving data mining and asking, can be according to number
The excavation mode of the excavation mode or SAS using Ilog is determined according to the request type for excavating request so that the application can
It is provided simultaneously with the data mining characteristic based on expert model that quick response can be carried out to data mining and SAS of Ilog
The characteristic of the data mining duties such as excavation and checking to data model, so as to identical data source on the basis of collect Ilog and
Two kinds of data mining characteristics of SAS, in the case where legacy data mining task disposal ability is not influenceed, are significantly lifted to difference
Response time, the different response efficiencies for excavating complexity task.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme in the embodiment of the present application, below will be to make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present application, for
For those of ordinary skill in the art, without having to pay creative labor, it can also be obtained according to these accompanying drawings
His accompanying drawing.
Fig. 1 is a kind of structural representation of data mining device that the embodiment of the present application six is provided；
Fig. 2 is the application exemplary plot of the embodiment of the present application；
Fig. 3 is a kind of structural representation of data mining device that the embodiment of the present application two is provided；
Fig. 4 is a kind of structural representation of data mining device that the embodiment of the present application three is provided；
Fig. 5 is a kind of structural representation of data mining device that the embodiment of the present application four is provided；
Fig. 6 is a kind of structural representation of data mining device that the embodiment of the present application five is provided；
Fig. 7 is a kind of structural representation of application server that the embodiment of the present application six is provided；
Fig. 8 is a kind of structural representation of server cluster that the embodiment of the present application seven is provided；
Fig. 9 is a kind of structural representation of server cluster that the embodiment of the present application eight is provided.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on
Embodiment in the application, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of the application protection.
Be a kind of structural representation of data mining device that the embodiment of the present application six is provided with reference to Fig. 1, described device with
Data digging system shown in Fig. 2 is connected, and data mining device is connected with terminal is accessed, data digging system and data source
It is connected.
Wherein, can be included in data digging system：First cluster and the second cluster, two clusters are connected with data source
Connect, multiple first servers can be included in the first cluster, multiple second servers, first service can be included in the second cluster
Device is configured with the first mining model based on ILog regulation engines, and the first mining model as quickly can carry out excavation sound to data
The expert model answered, thus, in first server based on ILog regulation engines can quick response and deployment user based on special
The data mining demand of family's model, second server is based on SAS (STATISTICAL ANALYSIS SYSTEM, statistical analysis system
System) the second mining model is configured with, the second mining model is data model, and second server can be to complexity based on SAS
Data mining task higher is responded.
In the present embodiment, described device can include following structure, realize data mining：
Request receiving interface 101, for receiving at least one data mining request, at least wraps in the data mining request
Include request type.
Wherein, data mining request characterizes the demand excavated required for user by being generated and sent in access terminal,
At least include the request type for characterizing user's request in each data mining request, type if desired for quick response or
Big data statistics or complexity request type higher etc..
It should be noted that request receiving interface 101 can be realized using the interface that can carry out data transmission, it is used to connect
Receive and access the data mining request that terminal sends.
Requests classification device 102, for being classified based on its request type to data mining request.
In the present embodiment, the classification to data mining request refers to, to the demand of user in parsing data mining request
Carry out cutting, that is to say, that user generates data mining request by accessing terminal, energy in the data mining request for now generating
Enough characterizing user needs to excavate the data in data source using which kind of mode.
It should be noted that requests classification device 102 can be realized using grader, please by data mining based on request type
Ask and classified.
First coffret 103, for request type is described for the data mining request of quick response type is transferred to
First cluster, is based on data mining request and utilizes first mining model by the first server in first cluster
Data mining is carried out to the data in data source, the first Result is obtained.
Wherein, after data mining request is transferred to the first cluster, the first cluster can be according to each first server
Present load, determine that one or more first servers carry out data mining, realize the load balance scheduling of data mining.
It should be noted that the first coffret 103 can be realized using the interface that can carry out data transmission, be used to by
Data mining request is transferred to the first cluster.
Second coffret 104, the data mining request for by data type not being quick response type is transferred to institute
The second cluster is stated, be based on data mining request by the second server in second cluster excavates mould using described second
Type carries out data mining treatment to the data in data source, obtains the second Result.
Wherein, after data mining request is transferred to the second cluster, the second cluster can be according to each second server
Present load, determine that one or more second servers carry out data mining, realize the load balance scheduling of data mining.
It should be noted that the second coffret 104 can be realized using the interface that can carry out data transmission, be used to by
Data mining request is transferred to the second cluster.
That is, in the present embodiment after cutting is carried out according to its request type to data mining request, by difference
The data mining request of type uses different processing modes, for example：The data mining of quick response will be needed to ask to be transferred to
First cluster, carries out ageing data mining higher, it would be desirable to which data volume is big or the data mining higher of complexity demand please
Ask the data mining for being transferred to that the second cluster is more improved or depth is higher.
It should be noted that data source here can be various types of data sources, such as relevant database, Hadoop
Data acquisition system of database or data file etc..
From such scheme, a kind of data mining device that the embodiment of the present application one is provided, by by ILog clusters with
SAS cluster configurations in same system, so as to when receiving data mining and asking, what can be asked according to data mining please
Seek type to determine the excavation mode of excavation mode or SAS using Ilog so that the application can be provided simultaneously with Ilog's
The digging to data model of the data mining characteristic and SAS based on expert model of quick response can be carried out to data mining
The characteristic of the data mining duty such as pick and checking, so as to collect two kinds of data minings of Ilog and SAS on the basis of identical data source
Characteristic, in the case where legacy data mining task disposal ability is not influenceed, is significantly lifted to different response times, different diggings
Dig the response efficiency of complexity task.
It is a kind of structural representation of data mining device that the embodiment of the present application two is provided with reference to Fig. 3, described device is also
Following structure can be included：
Result returns to interface 105, is connected with the first cluster and the second cluster, for obtaining described the in the first cluster
One Result and the second cluster are obtained after second Result, and first Result and described second are excavated
Result is returned.
Specifically, the result returns to interface 105 can use and first coffret 103 and the described second transmission
The identical coffret of interface 104, is used to for the first Result and the second Result to return to access terminal.
It is a kind of structural representation of data mining device that the embodiment of the present application three is provided with reference to Fig. 4, wherein, it is described
Device can also include following structure：
As a result memory interface 106, are connected with the first cluster and the second cluster, and the first cluster is deposited with the second cluster and data
Storage system is connected, and the result memory interface 106 is used for first Result for obtaining the first cluster and the second collection
Second Result that group obtains is stored.
Specifically, in the present embodiment, as a result memory interface 106 can excavate first Result and described second
Result is stored in the database storage system being connected with the first cluster and the second cluster.
Wherein, the result memory interface 106 can be to for example various types of database transmissions of data-storage system
The data-interface of one Result and the second Result.
It is a kind of structural representation of data mining device that the embodiment of the present application four is provided with reference to Fig. 5, wherein, it is described
Device can also include following structure：
3rd coffret 107, is connected with the second cluster, for obtaining first Result and described second
After Result, first Result and second Result are transferred to second cluster, by described
Second server in two clusters is using second mining model to first Result and second Result
Carry out cross validation.
It should be noted that the 3rd coffret 107 can be realized using the interface that can carry out data transmission, be used to by
First Result and the second Result are transferred to the second cluster, and carrying out intersection by the second server in the second cluster tests
Card.For example, the first Result represents the modeling result of expert model, the second Result represents the modeling knot of the data evil spirit heart
Really, second server carries out the checking that crosses one another to two results of model using real data, is used to discovery two is mutually authenticated
Problem and defect that class model is present, in this, as the optimization foundation of two class models, the accuracy of lift scheme.
That is, the second server in the second cluster is built with the second mining model based on SAS so that second service
Device can carry out data model excavation and training checking, thus, in the present embodiment, can obtain the first Result and
Result after second Result to the first Result such as expert model result and the second Result such as data model is entered
Row cross validation.
It is a kind of structural representation of data mining device that the embodiment of the present application five is provided with reference to Fig. 6, wherein, it is described
Device can also include following structure：
4th coffret 108, is connected between the first cluster and the second cluster, for first mining model to be passed
It is defeated to second cluster, carry out model training using second mining model by the second server in second cluster
And checking.
It should be noted that the 4th coffret 108 can be realized using the interface that can carry out data transmission, by first
The first mining model such as expert model in cluster is transferred to the second cluster, and model is carried out by the second server in the second cluster
Training and checking.For example, the first mining model (Ilog) can only quickly develop expert model, itself without model training and
Authentication function, and the second mining model (SAS) is that have such function, therefore, it can for the first mining model to be put into the
Two mining models carry out model training and checking.
That is, the second server in the second cluster is built with the second mining model based on SAS so that second service
Device can carry out the excavation and training checking of data model, thus, in the present embodiment, can be by first service in the first cluster
First mining model such as expert model of device are put into the second cluster the training and checking for carrying out model, and afterwards, the second cluster can
The first cluster is fed back to by model training result, is carried out that model is improved and is waited treatment.
It is a kind of structural representation of application server that the embodiment of the present application six is provided with reference to Fig. 7, wherein, it is described to answer
With server and data digging system and access terminal and be connected, the data digging system as shown in Figure 2, including the first collection
Group and the second cluster, two clusters are connected with data source, and first cluster includes multiple first servers, described second
Cluster includes multiple second servers, and the first server is configured with the first mining model, institute based on ILog regulation engines
State second server and the second mining model is configured with based on SAS；
Wherein, the data mining device as described in above-mentioned any one embodiment, institute are provided with the application server
State the structure of data mining device as shown in fig. 1, be used to：At least one data mining request is received, the data mining please
At least include request type in asking, data mining request is classified based on its request type, be fast by request type
The data mining request of fast respond style is transferred to first cluster, and institute is based on by the first server in first cluster
State data mining request carries out data mining using first mining model to the data in data source, obtains the first excavation knot
Really, and by data type be not quick response type data mining request be transferred to second cluster, collected by described second
Second server in group is based on data mining request to be carried out using second mining model to the data in data source
Data mining is processed, and obtains the second Result.
It is a kind of structural representation of server cluster that the embodiment of the present application seven is provided with reference to Fig. 8, wherein, the clothes
Business device cluster includes multiple application servers 801 as above described in an embodiment, is provided with the application server 801
Data mining device 811, also includes data digging system 802 in the server cluster, the data digging system 802 is wrapped
Include：First cluster 821 and the second cluster 822, two clusters are connected with data source, and first cluster 821 includes many
Individual first server 823, second cluster 822 includes multiple second servers 824, and the first server 823 is based on
ILog regulation engines are configured with the first mining model, and the second server 824 is configured with the second mining model based on SAS.
Wherein, the application server 801 in the server cluster is receiving at least one by data mining device 811
After data mining request, the data mining request is generated and sent by access terminal 803, is at least wrapped in data mining request
Request type is included, data mining request is classified based on its request type, be quick response type by request type
Data mining request be transferred to the first cluster 821 in the data digging system 802, by the in first cluster 821
One server 823 carries out data digging using first mining model based on data mining request to the data in data source
Pick, obtains the first Result, and is not that the data mining request of quick response type is transferred to the data by data type
The second cluster 822 in digging system 802, the data mining is based on by the second server 824 in second cluster 822
Request carries out data mining treatment using second mining model to the data in data source, obtains the second Result.
It is a kind of structural representation of server cluster that the embodiment of the present application eight is provided with reference to Fig. 9, wherein, the clothes
Also included in business device cluster：Load-balanced server 804, be connected to access terminal 803 and each application server 801 it
Between, wherein：
The load-balanced server 804, for according to the current load of application server 801 in the server cluster
State, data mining request is sent in the application server cluster application for meeting default load balancing condition
On server 801.
Wherein, the load balancing condition can from small to large sort in preceding N for present load amount in server cluster
Individual application server, N is the positive integer more than or equal to 1, that is to say, that by the application clothes that present load amount is minimum or preceding N is small
Business device excavates the application server of request as treatment current data, and load-balanced server 804 asks data mining to send
Onto the application server that these present load amounts are minimum or preceding N is small, load balancing is realized in the treatment for making requests on.
That is, in actual applications, the data mining device in the present embodiment may operate at answering for server cluster
With in server, data mining request can be responded, by number containing multiple application servers in server cluster
Processing forward is carried out in corresponding first cluster or the second cluster according to request is excavated.
And in order to realize load balancing, data mining produced by the access terminal of user request can be sent initially to
In the load-balanced server that application server is connected, balance dispatching commander is carried out by load-balanced server and is forwarded to conjunction again
In the application server of suitable server cluster, and then realize data mining.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
Finally, in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by
One entity makes a distinction with another entity, and not necessarily requires or imply between these entities there is any this reality
Relation or order.And, term " including ", "comprising" or its any other variant be intended to the bag of nonexcludability
Contain, so that article or equipment including a series of key elements not only include those key elements, but also including not arranging clearly
Other key elements for going out, or it is this article or the intrinsic key element of equipment also to include.In the situation without more limitations
Under, the key element limited by sentence "including a ...", it is not excluded that also deposited in the article or equipment including the key element
In other identical element.
A kind of data mining device provided herein, application server and cluster are described in detail above,
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the application.To these realities
The various modifications for applying example will be apparent for those skilled in the art, generic principles defined herein
Can in other embodiments be realized in the case where spirit herein or scope is not departed from.Therefore, the application will not be by
It is limited to the embodiments shown herein, and is to fit to consistent with principles disclosed herein and features of novelty most wide
Scope.
Claims (8)
1. a kind of data mining device, it is characterised in that be connected with data digging system, the data digging system includes the
One cluster and the second cluster, first cluster include multiple first servers, and second cluster includes multiple second
Server, the first server is configured with the first mining model based on ILog regulation engines, and the second server is based on SAS
(STATISTICAL ANALYSIS SYSTEM, statistical analysis system) is configured with the second mining model, and described device includes：
Request receiving interface, for receiving at least one data mining request, request is at least included in the data mining request
Type；
Requests classification device, for being classified based on its request type to data mining request；
First coffret, for request type to be collected for the data mining request of quick response type is transferred to described first
Group, data mining request is based on using first mining model to data by the first server in first cluster
Data in source carry out data mining, obtain the first Result；
Second coffret, the data mining request for by data type not being quick response type is transferred to second collection
Group, data mining request is based on using second mining model to data by the second server in second cluster
Data in source carry out data mining treatment, obtain the second Result.
2. device according to claim 1, it is characterised in that also include：
Result returns to interface, for after first Result and second Result is obtained, by described first
Result and second Result are returned.
3. device according to claim 1, it is characterised in that also include：
As a result memory interface, for first Result and second Result to be stored.
4. device according to claim 1, it is characterised in that also include：
3rd coffret, for after first Result and second Result is obtained, by described first
Result and second Result are transferred to second cluster, are utilized by the second server in second cluster
Second mining model carries out cross validation to first Result and second Result.
5. device according to claim 1, it is characterised in that also include：
4th coffret, for first mining model to be transferred into second cluster, by second cluster
Second server carries out model training and checking using second mining model.
6. a kind of application server, it is characterised in that the application server is connected with data digging system, the data are dug
Pick system includes the first cluster and the second cluster, and first cluster includes multiple first servers, in second cluster
Including multiple second servers, the first server is configured with the first mining model, described second based on ILog regulation engines
Server is configured with the second mining model based on SAS；
Wherein, set in the application server just like the data mining device described in any one in Claims 1 to 5, institute
State data mining device cluster for receive at least one data mining request, at least include asking in data mining request
Type, is classified to data mining request based on its request type, is the data of quick response type by request type
Excavate request and be transferred to first cluster, being based on the data mining by the first server in first cluster asks profit
Data mining is carried out to the data in data source with first mining model, the first Result is obtained, and by data type
Be not quick response type data mining request be transferred to second cluster, by the second server in second cluster
Data mining treatment is carried out to the data in data source using second mining model based on data mining request, is obtained
Second Result.
7. a kind of server cluster, it is characterised in that including multiple application servers as described in claim 6, also include：
Data digging system, the data digging system includes：First cluster and the second cluster, first cluster include many
Individual first server, second cluster includes multiple second servers, and the first server is based on ILog regulation engines
The first mining model is configured with, the second server is configured with the second mining model based on SAS；
Wherein, the first server is used for based on data mining request using first mining model to the number in data source
According to data mining is carried out, the first Result is obtained；
The second server is used to enter the data in data source using second mining model based on data mining request
Row data mining is processed, and obtains the second Result.
8. server cluster according to claim 7, it is characterised in that also include：Load-balanced server, wherein：
The load-balanced server, for according to the current load condition of application server in the server cluster, by institute
State during data mining request is sent to the server cluster and meet on the application server of default load balancing condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621214369.3U CN206209712U (en) | 2016-11-10 | 2016-11-10 | A kind of data mining device, application server and server cluster |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621214369.3U CN206209712U (en) | 2016-11-10 | 2016-11-10 | A kind of data mining device, application server and server cluster |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106528795A (en) * | 2016-11-10 | 2017-03-22 | 中国农业银行股份有限公司 | Data mining method and apparatus |
| CN112363831A (en) * | 2020-11-10 | 2021-02-12 | 上海华锐软件有限公司 | Wind control processing method and device, computer equipment and storage medium |
-
2016
- 2016-11-10 CN CN201621214369.3U patent/CN206209712U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106528795A (en) * | 2016-11-10 | 2017-03-22 | 中国农业银行股份有限公司 | Data mining method and apparatus |
| CN106528795B (en) * | 2016-11-10 | 2023-10-13 | 中国农业银行股份有限公司 | Data mining method and device |
| CN112363831A (en) * | 2020-11-10 | 2021-02-12 | 上海华锐软件有限公司 | Wind control processing method and device, computer equipment and storage medium |
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