CN102523246A - Cloud computation treating system and method - Google Patents
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Abstract
The invention discloses a cloud computation treating system and a method. The system comprises a client end, a database, a logical cloud server and a data analyzing platform, wherein the client end is used for sending out a request to the data analyzing platform; the database is used for storing data; the logical cloud server is used for setting a plurality of logics and providing the specific logics to the data analyzing platform according to different conditions; and the data analyzing platform is connected with the client end, the database and the logical cloud server and is used for receiving the request which is sent out by the client end, obtaining the logics of the logical cloud server according to the parameter of the request, also carrying out operational treatment by the logics through combining the data in the database and returning a treating result to the client end. According to the cloud computation treating system and the method which are provided by the invention, the data safety of an enterprise is effectively protected; and meanwhile, cloud computation service is provided, and the predicament of SaaS confronted in China is solved. Meanwhile, the obstruction on a data excavation technology, which is caused by structurized data or incomplete and non-standard informatization to which a traditional data excavation company faces, is also solved.
Description
Technical field
The invention belongs to network and field of computer technology, relate to a kind of cloud computing treatment system, relate in particular to a kind of cloud computing treatment system with novel cloud framework; Simultaneously, the invention still further relates to a kind of cloud computing processing method with novel cloud framework.
Background technology
Data mining (data mining) from extracting data a large amount of, incomplete, noisy, fuzzy, at random lie in wherein, people are ignorant in advance but be the information of potentially useful and the process of knowledge.Along with the high speed development of information technology, the data volume sharp increase of people's accumulation, how from the internet data of magnanimity, extracting useful knowledge becomes the task of top priority.Data mining is the committed step of Knowledge Discovery (knowledge discovery in database).Can be divided into three phases generally speaking: the preparation of data, the excavation of data, excavation result's explanation and expression.Detailed process is following:
(1) data are selected.From existing data, confirm that which data is relevant with this data analysis.
(2) data preliminary treatment.For the data of selecting, carry out data cleansing work, transformation of data is become the data of " totally ".
(3) data transaction.The data transaction of " totally " is become the required form of data algorithm.
(4) data mining.Use the suitable data mining algorithm to accomplish data analysis.
(5) explanation and expression.With suitable visualization technique and knowledge presentation technology pattern is offered the user with suitable form, the user can be made explanations to model result, validity that simultaneously can assessment models.
The data of the Internet are calculated with tb or pb level byte at present; And growth rate is very fast; If the database that this is huge is handled with general statistical analysis; Obviously have a heart but no strength, for the analysis and the excavation of internet data, the data mining that makes has been endowed new the connotation and extension.From the data digging system of the first generation to certain application-specific; Arrive the second generation with database and the integrated system of data warehouse; Arrive again with the data aggregate of the integrated third generation system of language system and many algorithms with the various computing equipments of mobile data; Though data digging system has had huge change on architecture; But people have still expressed great expectations for data mining in the application in some the special data sources as the internet data, and expectation is more, the relevant art of research and development further produces.
Cloud computing (cloud computing) is a kind of account form based on the Internet, and in this way, software and hardware resources of sharing and information can offer computer and other equipment as required.The whole service mode is the spitting image of electrical network.
Cloud computing is continue another great change after the big change of client-server of the 1980's mainframe computer.The user no longer needs to understand the details of infrastructure in " cloud ", needn't have corresponding professional knowledge, also need not directly to control.A kind of new IT service increase, use and delivery mode based on the Internet described in cloud computing, is usually directed to provide through the Internet dynamically be prone to expansion and often be virtualized resource.Cloud is a kind of metaphor saying of network, the Internet in fact.Because the past is often represented telecommunications network with cloud in the drawings, also be used for representing the abstract of the Internet and underlying basis facility afterwards.Typical cloud computing provider often provides general Network to use, and can visit through softwares such as browser or other Web services, and software and data all is stored on the server.The key element that cloud computing is crucial also comprises personalized user experience.
Cloud computing can be thought the service that comprises following level: infrastructure is promptly served (IaaS), and platform is promptly served (PaaS) and software is promptly served (SaaS).The cloud computing service provides the general online commercial application of passing through browser access usually, and software and data can be stored in data center.
Under the existing cloud computing pattern, cloud computing server is arranged on far-end, and various calculation process are all carried out under the cloud computing server of far-end; Simultaneously; The provider of cloud computing service needs the basic data source of cloud computing demand for services side usually; Yet demand for services side (enterprise) generally be unwilling oneself inside information, data are given and are served the provider, therefore; SaaS causes data mining obstacle on humanistic environment, to occur in the China facing predicament.In addition, structurized data or informationization that traditional data mining company faces are not thorough, lack of standardization, cause the obstacle on the data mining technology.
Summary of the invention
Technical problem to be solved by this invention is: a kind of cloud computing treatment system with novel cloud framework is provided, when effectively protecting the business data fail safe, the cloud computing service is provided, solved the predicament of SaaS in China facing.
In addition, the present invention also provides a kind of cloud computing processing method with novel cloud framework, when effectively protecting the business data fail safe, the cloud computing service is provided, and has solved the predicament of SaaS in China facing.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of cloud computing treatment system, said system comprises:
Client is in order to send request to the data analysis platform;
Database is in order to the storage data;
The logic Cloud Server in order to some logics to be set, offers the data analysis platform according to different situations with certain logic;
The data analysis platform; Be connected with said client, database, logic Cloud Server; In order to receive the request that client is sent; According to the logic of the parameter acquiring logic Cloud Server of described request, and carry out calculation process, result is back to client with the data in this logic binding data storehouse.
As a kind of preferred version of the present invention, said logic Cloud Server and data analysis platform constitute whole cloud service platform, separate operation between logic Cloud Server and the data analysis platform; Said logic Cloud Server is publicly-owned cloud, manages through first administration module; Said data analysis platform is privately owned cloud, manages through second administration module.
As a kind of preferred version of the present invention, said logic Cloud Server, data analysis platform, database not only be separated from each other, separate, but also exist coupling in logic to make up relation; Said logic Cloud Server is responsible for the foundation of method and logic, the study and the discovery of knowledge and experience; The issue of algorithm, the pool of parallel computation and control; The data analysis platform is responsible for distributed algorithm, and calculating can be resolved into complete independent parts, perhaps just can transform out the parallel processing cluster very simply; The data that database is stored are the maximum wealth of owner, and they can not appear on the logic Cloud Server; Said system,, can be coupled all computers through the pool and the control of parallel computation as privately owned cloud through the data analysis platform, and the real maximized computational resource that utilizes the world forms worldwide calculating cloud; And make simultaneously knowledge study, discovery, issue and data safe, do not leak and protect and deposit.
As a kind of preferred version of the present invention, said data analysis platform comprises logic cloud controller, data warehouse module, data-mining module; Said logic Cloud Server comprises the knowledge interpretation module; Said logic cloud controller is in order to receiving the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out carried out initialization task; Said logic Cloud Server in order to according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data in order to according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database; Said logic Cloud Server further in order to transmit the mining algorithm of this data analysis task according to parameter setting to the data-mining module of data analysis platform, find in order to produce according to the mining algorithm that obtains by data-mining module; Said knowledge interpretation module directly is sent to client in order to said discovery is construed to knowledge; Perhaps, the knowledge of explaining is sent to said data analysis platform, is sent to client by the data analysis platform.
As a kind of preferred version of the present invention, said logic Cloud Server comprises the knowledge assessment module, in order to according to parameter setting each discovery is assessed; If find not satisfy evaluation criteria, then the logic Cloud Server transmits mining algorithm to data-mining module again again to data warehouse module Data transmission transformation rule, and then produces the discovery that makes new advances; Until finding to satisfy the standard of setting.
As a kind of preferred version of the present invention, said knowledge interpretation module is construed to knowledge with said discovery, and is sent to said data analysis platform;
Said data analysis platform further comprises the second knowledge interpretation module, the discovery of data analysis task is construed to knowledge, and is sent to said client.
As a kind of preferred version of the present invention, said logic Cloud Server is the artificial neural network's logic Cloud Server that has self-learning capability.
A kind of cloud computing processing method, said method comprises the steps:
Client is sent request to the data analysis platform;
The data analysis platform receives the request that client is sent, and with sending customizing messages to logic Cloud Server after the Request Processing;
The logic Cloud Server offers the data analysis platform according to the information that receives with certain logic;
The data analysis platform obtains the logic that the logic Cloud Server sends over, and carries out calculation process with the data in this logic binding data storehouse, and result is back to client.
As a kind of preferred version of the present invention, said processing method specifically comprises the steps:
Step S1, client are sent request to the logic cloud controller of data analysis platform;
Step S2, logic cloud controller receive the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out are carried out initialization task;
Step S3, logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
Step S4, logic Cloud Server are according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module produces according to the mining algorithm that obtains and finds;
Step S5, knowledge interpretation module are construed to knowledge with said discovery, directly are sent to client; Perhaps, the knowledge of explaining is sent to said data analysis platform, is sent to client by the data analysis platform.
As a kind of preferred version of the present invention, said processing method specifically comprises the steps:
Step 1, client are sent request to the logic cloud controller of data analysis platform;
Step 2, logic cloud controller receive the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out are carried out initialization task;
Step 3, logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
Step 4, logic Cloud Server are according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module produces according to the mining algorithm that obtains and finds;
Step 5, logic Cloud Server be according to parameter setting, transmits the evaluate knowledge of this data analysis task to the data analysis platform, and assess finding; If find not satisfy evaluation criteria, then go to step 3, otherwise go to step 6;
The knowledge interpretation module of step 6, logic Cloud Server is transmitted the explanation knowledge of this data analysis task according to setting to the data analysis platform;
The second knowledge interpretation module of step 7, data analysis platform is construed to knowledge with the discovery of this data analysis task;
Step 8, data analysis platform transmit the knowledge of this data analysis to client, finish this subtask.
Beneficial effect of the present invention is: cloud computing treatment system and method that the present invention proposes, when effectively protecting the business data fail safe, the cloud computing service is provided, and solved the predicament of SaaS in China facing.It is not thorough, lack of standardization simultaneously to have solved structurized data or informationization that traditional data mining company faces yet, causes the obstacle on the data mining technology.The terminal use needn't need to be grasped the technical ability of data analysis again, more need not painstakingly grasp the advanced technology of business analysis and BI (Business Intelligence), and these are directly given the artificial neural network's logic cloud processing that has self-learning capability and get final product.
The present invention can be with privately owned cloud, software platform, ecommerce, particularly based on the ecommerce effective integration of third party's platform; Having overcome various mining algorithms at last emerges in an endless stream; And system uses price low to the extensibility and the maintainable relatively poor problem of algorithms of different.The present invention breaks through the difficult problem of cloud computing, SaaS service application theoretically.
The present invention has broken through the theory and the method for existing cloud computing, cloud storage with innovating---and storage has guaranteed data owner's data ground fail safe, privacy, leaking property not from structure beyond the clouds, can use knowledge, experience and the algorithm in high in the clouds again.
Description of drawings
Fig. 1 is the processing sketch map of cloud computing treatment system of the present invention.
Fig. 2 is the flow chart of cloud computing processing method of the present invention.
Embodiment
Specify the preferred embodiments of the present invention below in conjunction with accompanying drawing.
Embodiment one
See also Fig. 1, the present invention has disclosed a kind of cloud computing treatment system, and said system comprises: client 40, database 30, data analysis platform 20, logic Cloud Server 10.In the present embodiment, said logic Cloud Server is the artificial neural network's logic Cloud Server that has self-learning capability.
Client 40 is in order to send request to the data analysis platform; Client 40 can be common pc, panel computer, 3G equipment etc.
Database 30 is in order to the storage data, like the inside information of enterprise.Database 30 can be arranged in the server of enterprise, need not to be connected with logic Cloud Server 10.
Logic Cloud Server 10 offers data analysis platform according to different situations with certain logic in order to some logics to be set.
Data analysis platform 20 is connected with said client 40, database 30, logic Cloud Server 10; In order to receive the request that client 40 is sent; Logic according to the parameter acquiring logic Cloud Server 10 of described request; And carry out calculation process with the data in this logic binding data storehouse 30, result is back to client 40.Data analysis platform 20 can be arranged in the server of subscriber's local, and cloud computing is served the provider and can the cloud service terminal software be installed in the computer of enterprise, and this terminal software is said data analysis platform 20.
Said logic Cloud Server 10 constitutes whole cloud service platform, separate operation between logic Cloud Server 10 and the data analysis platform 20 with data analysis platform 20; Said logic Cloud Server 10 is publicly-owned cloud, manages through first administration module; Said data analysis platform 20 is privately owned cloud, manages through second administration module.
Said logic Cloud Server 10, data analysis platform 20, database 30 not only be separated from each other, separate, but also exist coupling in logic to make up relation; Make the computational resource maximum using of the computer in the worldwide become possibility.The logic Cloud Server 10 responsible methods and the foundation of logic, the study and the discovery of knowledge and experience; The issue of algorithm, the pool of parallel computation and control.Data analysis platform 20 is responsible for distributed algorithm, and calculating can be resolved into complete independent parts, perhaps just can transform out the parallel processing cluster very simply.The data that database 30 is stored are the maximum wealth of owner; They can not appear on the total cloud (logic Cloud Server 10); Innovation ground broken through existing cloud computing, cloud storage theory and method---storage beyond the clouds; Guarantee data owner's the fail safe of data ground, privacy, leaking property not from structure, can use knowledge, experience and the algorithm in high in the clouds again.This framework not only exist with total cloud (logic Cloud Server 10) on; Also utilized privately owned cloud (data analysis platform 20); Pool and control through parallel computation; Can global computer be coupled in theory, the real maximized computational resource that utilizes the world forms worldwide calculating cloud.And make simultaneously knowledge study, discovery, issue and data safe, do not leak and protect and deposit.
Particularly, said data analysis platform 20 comprises logic cloud controller 21, data warehouse module 22, data-mining module 23; Said logic Cloud Server 10 comprises the knowledge interpretation module.Said logic cloud controller 21 is in order to receiving the request that client 40 is sent, and according to described request the logic that logic Cloud Server 10 is about to carry out carried out initialization task.Said logic Cloud Server 10 in order to according to parameter setting to data warehouse module 22 Data transmission transformation rules; Data warehouse module 22 is cleaned initial data in order to according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module 22 is connected with said database 30, and database 30 provides desired data for data warehouse module 22, and said database 30 is local database.Said logic Cloud Server 10 further in order to transmit the mining algorithm of these data analysis tasks according to parameter setting to the data-mining module of data analysis platform 20 23, find in order to produce according to the mining algorithm that obtains by data-mining module 23.
In the present embodiment, said logic Cloud Server 10 comprises the knowledge assessment module, in order to according to parameter setting each discovery is assessed; If find not satisfy evaluation criteria, then logic Cloud Server 10 transmits mining algorithm to data-mining module 23 again again to data warehouse module 22 Data transmission transformation rules, and then produces the discovery that makes new advances; Until finding to satisfy the standard of setting.
Said knowledge interpretation module directly is sent to client 40 in order to said discovery is construed to knowledge; Perhaps, the knowledge of explaining is sent to said data analysis platform 20, is sent to client 40 by data analysis platform 20.In the present embodiment, said knowledge interpretation module is construed to knowledge with said discovery, and is sent to said data analysis platform; Said data analysis platform further comprises the second knowledge interpretation module, the discovery of data analysis task is construed to knowledge, and is sent to said client.
More than introduced cloud computing treatment system of the present invention, the present invention also discloses a kind of cloud computing processing method when disclosing said system; Said method comprises the steps: that client sends request to the data analysis platform; The data analysis platform receives the request that client is sent, and with sending customizing messages to logic Cloud Server after the Request Processing; The logic Cloud Server offers the data analysis platform according to the information that receives with certain logic; The data analysis platform obtains the logic that the logic Cloud Server sends over, and carries out calculation process with the data in this logic binding data storehouse, and result is back to client.
Said cloud computing processing method can comprise the steps:
[step S1] client is sent request to the logic cloud controller of data analysis platform;
[step S2] logic cloud controller receives the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out is carried out initialization task;
[step S3] logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
[step S4] logic Cloud Server is according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module is found in order to produce according to the mining algorithm that obtains;
[step S5] knowledge interpretation module directly is sent to client in order to said discovery is construed to knowledge; Perhaps, the knowledge of explaining is sent to said data analysis platform, is sent to client by the data analysis platform.
See also Fig. 2, in the present embodiment, said cloud computing processing method specifically comprises the steps:
[step 1] client is sent request to the logic cloud controller of data analysis platform;
[step 2] logic cloud controller receives the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out is carried out initialization task;
[step 3] logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
[step 4] logic Cloud Server is according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module is found in order to produce according to the mining algorithm that obtains;
[step 5] logic Cloud Server is according to parameter setting, transmits the evaluate knowledge of this data analysis task to the data analysis platform, and assesses finding; If find not satisfy evaluation criteria, then go to step 3, otherwise go to step 6;
The knowledge interpretation module of [step 6] logic Cloud Server is transmitted the explanation knowledge of this data analysis task according to setting to the data analysis platform;
The second knowledge interpretation module of [step 7] data analysis platform is construed to knowledge with the discovery of this data analysis task;
[step 8] data analysis platform transmits the knowledge of this data analysis to client, finishes this subtask.
The present invention handles cloud computing and is divided into the logic Cloud Server (publicly-owned cloud) that is arranged on far-end, the data analysis platform (privately owned cloud) that can be arranged on subscriber's local, and enterprise can enjoy the cloud computing service when need not its data being provided.
Embodiment two
Present embodiment is introduced systemic-function and the system design in execution mode of system of the present invention.
1.1, analysis of system performance
According to the cloud computing framework model design of above-mentioned data analysis, excavation and the description of execution mechanism; The function that this project of drawing need be accomplished mainly comprises: the definition of mining task; Logic initialization, the extraction of mining data, mining data preliminary treatment; Analyze and excavate, the assessment of discovery, application and expression.In addition, as a novel cloud computing structure that is applied to data mining platform, also must possess the various interface that system merges.
1.1.1, the definition of mining task and logic initialization function be the starting point of system's operation; The problem that the client at first describes the requirement of oneself or claims and separate; System intelligence excavates initialization such as function, mining algorithm to mining task; System excavates pretreated data according to setting then, excavates the result and stores and carry out visualization processing (four).Excavate definition setting and be one group and be used to construct or the input parameter set of application data mining model, comprised that in our platform data setting, function setting and algorithm are provided with etc. several big type.Data be provided with the defeated personal data source of confirming mining task, numeric data discretization method, lose value and the processing mode of the data that peel off etc.Function setting has been specified the function type of mining task and the mode that corresponding attribute is used by mining algorithm.Excavate function and make separating of mining algorithm the user when specifying the excavation result type, needn't be concerned about specific algorithm.
1.1.2, the data pick-up function is mainly used in functions such as the data extract of accomplishing the mining task desired data, data analysis, data relationship extraction, data attribute extraction; Its data source is to be stored in the database of initial data, and data format comprises SHP, Person Geodatabase, SDEGeodatabase, grid map, text etc.System intelligence is provided with filtercondition, carries out record filtering, and the data pick-up result forms the ephemeral data warehouse, and extracts result's access according to the requirement of mining task.
1.1.3, have noise data or vacancy value in the data preprocessing function luv space data, need necessarily handle it, otherwise possibly produce important negative effect, even possibly cause algorithm to lose efficacy excavating the result.Then data are carried out discretization or abstract processing, the connection attribute discretization is a very important problem in data mining.This function is mainly accomplished the preliminary treatment of data extraction module gained data, comprises that the processing of vacancy value, data discreteization, attribute reduction, data generally change.
1.1.4, data analysis and excavation function, this function is the Core Feature of system.As the system that has than high scalability, system's self-learning capability must provide autgmentability in the following areas, excavate function, mining algorithm, mining model.
1.1.5, the assessment found, use and expression, the function of this module completion is a data mining results application of model Function of Evaluation.Should, this function is a relatively independent functional module.Require this module not only can assess, use, inquire about the results model that obtains through our digging system, simultaneously also result enough to use other digging tool to obtain.As stated, PMML is represented standard by the results model of extensive support at present, and this just requires model application query functional module can handle the model that the PMML form is represented.Therefore, this module functions comprises the reading of PMML model, PMML model visualization, PMML application of model (like classification and prediction).
1.1.6, Interface Functional Analysis
1), system merges interface.One of target of platform is realize data mining and sector application, third party's platform software integrated, and this just requires platform that the second development interface of necessity must be provided.Require as follows: platform-neutral, various development languages such as JAVA, C#, Delphi are supported comprehensively; Encapsulation property, interface only provide defeated people and output, and processing procedure encapsulates; Extensibility, second development interface can be accomplished the expansion of interface as required under the situation that system need not to recompilate.For satisfying above requirement, Web Service will be optimal selection.
1.2, system design
1.2.1 overall system design
The system architecture design.Adopted (privately owned) cloud computing pattern under the webservice framework on the overall system, simultaneously, whole system adopts the N layer architecture, is divided into " presentation layer ", " professional outward appearance layer ", " logical layer ", " data access layer " reaches " data Layer "." professional outward appearance layer ", " logical layer ", " data access layer " reach the server end of the platform of " data Layer " formation; " presentation layer " is client; Client is through SOAP invoking server end function, user customizable client or platform is integrated in third party's platform or the industrial application software under the support of Platform Server end.
1.2.2 excavate function and mining algorithm class
1), MingFuctionMingFuction is that all excavate the parent of functions, it comprises following subclass to realize different excavation functions: AssiociationFun: correlation rule; ClassifcationFun: classification; ClusteringFun: cluster; TrendDetectionFun: trend analysis.
2), MiningAlgorithms MiningAlgorithms is the parent of all algorithms, comprises following algorithm: SpatialApriori: the association rule algorithm of refinement progressively; DicisionTree: decision Tree algorithms; GDBSCAN: based on the clustering algorithm of density.
3), the design of concept hierarchy tree Taxonomy class.In the space correlation scheduling algorithm, used the concept hierarchy tree, Taxonomy has clearly definition in the PMML standard, and the file layout of concept hierarchy tree has adopted the XML file of PMML standard.In SpatialMiner, represent the concept hierarchy tree, and accomplish read-write the concept hierarchy tree through Taxonomy class and TaxonomyObject.The axonomyObject object has been represented the node object in the hierarchical tree, defines as follows:
1.2.3, member designs is according to our design philosophy, the kernel object in high in the clouds will further be encapsulated as member (componet) according to CBD method for designing.The interface of the designing requirement designed component of component-oriented, with the approach of interface as the component invoking function, therefore, in front the class figure basis of design go up need further to public or be exposed in advance the client method, that attribute carries out interface is abstract.
1.2.4Web which method Service (Web Service Faqade layer) in system design, will offer client call with actually, promptly which Web Service is system provide, and is a key issue in the design.We have increased a WebService Facade layer as Web Service interface in the system architecture design, and the inside has encapsulated all Web Service definition, and generate wsdl document according to these definition.
1), Web Service design.According to the design of front, we provide following Web Service for client, and Web ServiceProvider realizes through the member of service end, has comprised some correlation techniques in each Service.
1., space data sets service: GeoDatasetSvc; Main method has: data pick-up ExtractData; Obtain data set attribute and count the bent utesCount of GetAtt; Obtain data instance and count GetInstancesCount, stored data sets PersistPhisical-Dataset, this service realizes through PhisicalDataset class correlation technique.
2., data filter service: DataFilterSvc; Accomplish the data preliminary treatment, main method has: the vacancy value is handled ReplaceMissingValuesFilter, discrete scretetizefiher; Attribute reduction AttributeFiher, data are generally changed DataGeneralizeFiher.
3., mining task is set and served: DataMiningsettingSvc, main method has: set and excavate function MiningFunctionsetting, set algorithm MiningAlgorthmSetting, concept hierarchy set and set TaxonomySetting.
4., data mining service: DataMiningSvc, main method has: mining task is carried out MiningTaskExcute, mining task cancellation MiningTaskCancel
5., mining model service: MiningMod-elSvc class; Main method has: the mining model CreateModel (like AssociationModel etc.) that creates specified type; In the PMML storehouse, increase model InsertToPMML, from the PMML storehouse, read model selectFromPMML, upgrade PMMI.General Update ToPMML in the storehouse, the model DeleteFromPMML in the deletion PMML storehouse.
2), Web Service definition.Following example is " mining task is set service " (DataMiningSettingSer, rice) definition in the WebService Faqade layer under the .NET platform.[WebMethod]public?void?MiningFunctionSetting(string?settingstring)
In sum, cloud computing treatment system and method that the present invention proposes when effectively protecting the business data fail safe, provide the cloud computing service, have solved the predicament of SaaS in China facing.
According to the data category that in mining process, uses, the task that internet data excavates can be divided into three kinds of main types: the Web structure is excavated, web content excavates and the Web usage mining.This project focuses on research and Web usage excavation is the most closely used in ecommerce, network marketing.And be the main target client with electric commercial business such as b2c, b2b, c2b industry and enterprises of community such as SNS, microblogging, from the research and development thinking of marketing point of view of application, proposition " marketing that internet data excavates is used " and method, model and the product of exploitation series.
At first, analyze from some characteristic indexs of electricity merchant operation management.All trades and professions all have the characteristic index (KPI) of suitable industry characteristic requirements, through analysis, the tracking of these KPI, just can judge the efficient of the operation of enterprise on the macroscopic view rapidly more accurately.Emphasis index, characteristic comprise: flow registration ratio, shopping cart ratio, order conversion ratio, page views, and average browsing time of order, objective unit price, repurchase rate, or the like.
Secondly; The comprehensive combined data in, season monthly, year from the website relatively, the operation benefits in angle analysis website operation section continuous time of macroscopic view, client's variations, profit trend, product trend, consumption variation or the like (product, profit, each latitude deployment analysis of the client).Emphasis index, characteristic comprise: interim development trend; The problem that occurs; Locking core value customer's population size and threshold index (such as: 2080 principles in the concrete definition of this enterprise, concrete sales promotion stimulates clearly defining of time period of producing consumption after the client enrollment, the roughly rule of customer churn and the time interval; The path analysis of turnover website, or the like).
At last, on the basis of above-mentioned two step simple analysis,, can consider that excavating application point of view from internet data carries out analytical applications to the more deep marketing problem and the problem of customer relation management.Modal method was that cluster analysis, association analysis and various deep forecast model are on this basis used (such as logistic regression, using or the like such as decision tree) during this type data mining was at present used.
Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of the embodiment that is disclosed and change are possible, and the replacement of embodiment is known with the various parts of equivalence for those those of ordinary skill in the art.Those skilled in the art are noted that under the situation that does not break away from spirit of the present invention or substantive characteristics, and the present invention can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.Under the situation that does not break away from the scope of the invention and spirit, can carry out other distortion and change here to the embodiment that is disclosed.
Claims (10)
1. a cloud computing treatment system is characterized in that, said system comprises:
Client is in order to send request to the data analysis platform;
Database is in order to the storage data;
The logic Cloud Server in order to some logics to be set, offers the data analysis platform according to different situations with certain logic;
The data analysis platform; Be connected with said client, database, logic Cloud Server; In order to receive the request that client is sent; According to the logic of the parameter acquiring logic Cloud Server of described request, and carry out calculation process, result is back to client with the data in this logic binding data storehouse.
2. cloud computing treatment system according to claim 1 is characterized in that:
Said logic Cloud Server and data analysis platform constitute whole cloud service platform, separate operation between logic Cloud Server and the data analysis platform;
Said logic Cloud Server is publicly-owned cloud, manages through first administration module; Said data analysis platform is privately owned cloud, manages through second administration module.
3. cloud computing treatment system according to claim 1 is characterized in that:
Said logic Cloud Server, data analysis platform, database not only be separated from each other, separate, but also exist coupling in logic to make up relation;
Said logic Cloud Server is responsible for the foundation of method and logic, the study and the discovery of knowledge and experience; The issue of algorithm, the pool of parallel computation and control; The data analysis platform is responsible for distributed algorithm, and calculating can be resolved into complete independent parts, perhaps just can transform out the parallel processing cluster very simply; The data that database is stored are the maximum wealth of owner, and they can not appear on the logic Cloud Server;
Said system,, can be coupled all computers through the pool and the control of parallel computation as privately owned cloud through the data analysis platform, and the real maximized computational resource that utilizes the world forms worldwide calculating cloud; And make simultaneously knowledge study, discovery, issue and data safe, do not leak and protect and deposit.
4. cloud computing treatment system according to claim 1 is characterized in that:
Said data analysis platform comprises logic cloud controller, data warehouse module, data-mining module; Said logic Cloud Server comprises the knowledge interpretation module;
Said logic cloud controller is in order to receiving the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out carried out initialization task;
Said logic Cloud Server in order to according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data in order to according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
Said logic Cloud Server further in order to transmit the mining algorithm of this data analysis task according to parameter setting to the data-mining module of data analysis platform, find in order to produce according to the mining algorithm that obtains by data-mining module;
Said knowledge interpretation module directly is sent to client in order to said discovery is construed to knowledge; Perhaps, the knowledge of explaining is sent to said data analysis platform, is sent to client by the data analysis platform.
5. cloud computing treatment system according to claim 4 is characterized in that:
Said logic Cloud Server comprises the knowledge assessment module, in order to according to parameter setting each discovery is assessed; If find not satisfy evaluation criteria, then the logic Cloud Server transmits mining algorithm to data-mining module again again to data warehouse module Data transmission transformation rule, and then produces the discovery that makes new advances; Until finding to satisfy the standard of setting.
6. cloud computing treatment system according to claim 4 is characterized in that:
Said knowledge interpretation module is construed to knowledge with said discovery, and is sent to said data analysis platform;
Said data analysis platform further comprises the second knowledge interpretation module, the discovery of data analysis task is construed to knowledge, and is sent to said client.
7. cloud computing treatment system according to claim 1 is characterized in that:
Said logic Cloud Server is the artificial neural network's logic Cloud Server that has self-learning capability.
8. a cloud computing processing method is characterized in that, said method comprises the steps:
Client is sent request to the data analysis platform;
The data analysis platform receives the request that client is sent, and with sending customizing messages to logic Cloud Server after the Request Processing;
The logic Cloud Server offers the data analysis platform according to the information that receives with certain logic;
The data analysis platform obtains the logic that the logic Cloud Server sends over, and carries out calculation process with the data in this logic binding data storehouse, and result is back to client.
9. cloud computing processing method according to claim 8 is characterized in that said processing method specifically comprises the steps:
Step S1, client are sent request to the logic cloud controller of data analysis platform;
Step S2, logic cloud controller receive the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out are carried out initialization task;
Step S3, logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
Step S4, logic Cloud Server are according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module produces according to the mining algorithm that obtains and finds;
Step S5, knowledge interpretation module are construed to knowledge with said discovery, directly are sent to client; Perhaps, the knowledge of explaining is sent to said data analysis platform, is sent to client by the data analysis platform.
10. cloud computing processing method according to claim 8 is characterized in that said processing method specifically comprises the steps:
Step 1, client are sent request to the logic cloud controller of data analysis platform;
Step 2, logic cloud controller receive the request that client is sent, and according to described request the logic that the logic Cloud Server is about to carry out are carried out initialization task;
Step 3, logic Cloud Server according to parameter setting to data warehouse module Data transmission transformation rule; The data warehouse module is cleaned initial data according to by this data analysis task data transformation rule, carries out the preparation of data analysis; Said data warehouse module is connected with said database, and database provides desired data for the data warehouse module, and said database is local database;
Step 4, logic Cloud Server are according to the mining algorithm of parameter setting to this data analysis task of data-mining module transmission of data analysis platform, and data-mining module produces according to the mining algorithm that obtains and finds;
Step 5, logic Cloud Server be according to parameter setting, transmits the evaluate knowledge of this data analysis task to the data analysis platform, and assess finding; If find not satisfy evaluation criteria, then go to step 3, otherwise go to step 6;
The knowledge interpretation module of step 6, logic Cloud Server is transmitted the explanation knowledge of this data analysis task according to setting to the data analysis platform;
The second knowledge interpretation module of step 7, data analysis platform is construed to knowledge with the discovery of this data analysis task;
Step 8, data analysis platform transmit the knowledge of this data analysis to client, finish this subtask.
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