CN102945151A - Data mining system target model based on cloud computing - Google Patents
Data mining system target model based on cloud computing Download PDFInfo
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- CN102945151A CN102945151A CN2012103796428A CN201210379642A CN102945151A CN 102945151 A CN102945151 A CN 102945151A CN 2012103796428 A CN2012103796428 A CN 2012103796428A CN 201210379642 A CN201210379642 A CN 201210379642A CN 102945151 A CN102945151 A CN 102945151A
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Abstract
The invention provides a data mining system target model based on cloud computing, which comprises a data set module, an algorithm module and a task module, wherein the data set module feeds a data set example back to the algorithm module; the task module transmits the invoking command to the algorithm module through message transmission; and the algorithm module feeds the needed functional algorithm and data back to the task module through operation. The data mining system target model is low in cost, high in utilization ratio, relatively low in hardware requirements, and stronger in data analyzing and processing capability.
Description
Technical field
The invention belongs to field of computer technology, be specifically related to a kind of data digging system object module based on cloud computing.
Background technology
Along with developing rapidly of computer science and technology, mass data is stored in the computer-readable storage medium, these data are magnanimity often, complicated, isomery, be difficult to understand by artificial, for excavation and the problem analysis that solves these data, extract the information that people use that are conducive to more, most scholars both domestic and external, enterprise, research institution has proposed based on cluster, based on application system and the platform of the various distributed parallels excavations such as three layers of C/S structure and Agent-base, although these systems have improved the processing power of data digging system, but system's realization relative complex and adaptability are relatively poor, and exploitation drops into excessive.
Cloud computing is as the upgrading of grid computing, well solved the system bottleneck of server configuration quantity and hardware index, subproblem that the characteristics that it is virtual, extensive, high reliability, high scalability, high universalizable, on-demand service, ease for use are strong have helped the data digging system final result, and be not suggested based on live in a place other than one's hometown excavation system and system of the book of cloud computing before.
Existing model, cost is high, utilization factor is low, to hardware require too high.Process according to one's analysis based on the existing model of grid computing and system relatively poorly in the ability that solves large data and mass data, some data is processed even need to be gone manually and gathers the waste of manpower cost.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of data digging system object module based on cloud computing, cost is low, and utilization factor is high, and lower to hardware requirement, the data analysis processing power is stronger.
In order to realize the foregoing invention purpose, the present invention takes following technical scheme:
The invention provides a kind of data digging system object module based on cloud computing, described model comprises data set module, algoritic module and task module; Described data set module feeds back to described algoritic module with the data set example, described task module sends to described algoritic module by the message transmission with call instruction, and described algoritic module is given described task module by computing with function algorithm and the data feedback of needs.
Described data set module comprises the data set example, and data set is the concrete data acquisition that comprises reference address.
Described algoritic module is comprised of set of algorithms, and the data set module passes to algoritic module by calling of database with the data set example, and algoritic module is by the processing of having called paired data, arrangement and the processing of self internal algorithm.
Described task module carries out Treatment Analysis to data digging system function; When task module is opened mining task, make a thorough investigation of the calling data that needs of self algorithm and concentrate respective algorithms in concrete example and the corresponding algoritic module of corresponding this kind data set example.
Compared with prior art, beneficial effect of the present invention is: the data digging system internal module all provides service by user interface and open interface, three layers of module are algoritic module, task module according to abstraction hierarchy from low to high, the open service of open interface is all outside visible services, the function that relating to data digging system etc. needs super-ordinate right to use only calls to guarantee the data digging system security by the data digging system user interface, and user interface can directly be called open interface and realize the outside service that can call; This invention cost is low, and utilization factor is high, and lower to hardware requirement, the data analysis processing power is stronger.
Description of drawings
Fig. 1 is based on the data digging system object module workflow diagram of cloud computing;
Fig. 2 is based on the data digging system object module of cloud computing and uses synoptic diagram.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
Such as Fig. 1 and Fig. 2, the invention provides a kind of data digging system object module based on cloud computing, described model comprises data set module, algoritic module and task module; Described data set module feeds back to described algoritic module with the data set example, described task module sends to described algoritic module by the message transmission with call instruction, and described algoritic module is given described task module by computing with function algorithm and the data feedback of needs.
Described data set module comprises the data set example, and data set is the concrete data acquisition that comprises reference address.
Described algoritic module is comprised of set of algorithms, and the data set module passes to algoritic module by calling of database with the data set example, and algoritic module is by the processing of having called paired data, arrangement and the processing of self internal algorithm.
Described task module carries out Treatment Analysis to data digging system function; When task module is opened mining task, make a thorough investigation of the calling data that needs of self algorithm and concentrate respective algorithms in concrete example and the corresponding algoritic module of corresponding this kind data set example.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or be equal to replacement the specific embodiment of the present invention, and do not break away from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (4)
1. data digging system object module based on cloud computing, it is characterized in that: described model comprises data set module, algoritic module and task module; Described data set module feeds back to described algoritic module with the data set example, described task module sends to described algoritic module by the message transmission with call instruction, and described algoritic module is given described task module by computing with function algorithm and the data feedback of needs.
2. the data digging system object module based on cloud computing according to claim 1, it is characterized in that: described data set module comprises the data set example, data set is the concrete data acquisition that comprises reference address.
3. the data digging system object module based on cloud computing according to claim 1, it is characterized in that: described algoritic module is comprised of set of algorithms, the data set module passes to algoritic module by calling of database with the data set example, and algoritic module is by the processing of having called paired data, arrangement and the processing of self internal algorithm.
4. the data digging system object module based on cloud computing according to claim 1, it is characterized in that: described task module carries out Treatment Analysis to data digging system function; When task module is opened mining task, make a thorough investigation of the calling data that needs of self algorithm and concentrate respective algorithms in concrete example and the corresponding algoritic module of corresponding this kind data set example.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2012103796428A CN102945151A (en) | 2012-10-09 | 2012-10-09 | Data mining system target model based on cloud computing |
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| CN2012103796428A CN102945151A (en) | 2012-10-09 | 2012-10-09 | Data mining system target model based on cloud computing |
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| CN102945151A true CN102945151A (en) | 2013-02-27 |
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| CN2012103796428A Pending CN102945151A (en) | 2012-10-09 | 2012-10-09 | Data mining system target model based on cloud computing |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570107A (en) * | 2016-11-01 | 2017-04-19 | 广西电网有限责任公司电力科学研究院 | Big data calculation and analysis scheme fruiting system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20080082393A1 (en) * | 2006-09-28 | 2008-04-03 | Microsoft Corporation | Personal data mining |
| CN102567396A (en) * | 2010-12-30 | 2012-07-11 | 中国移动通信集团公司 | Method, system and device for data mining on basis of cloud computing |
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- 2012-10-09 CN CN2012103796428A patent/CN102945151A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080082393A1 (en) * | 2006-09-28 | 2008-04-03 | Microsoft Corporation | Personal data mining |
| CN102567396A (en) * | 2010-12-30 | 2012-07-11 | 中国移动通信集团公司 | Method, system and device for data mining on basis of cloud computing |
Non-Patent Citations (2)
| Title |
|---|
| 李凯 等: "基于云计算的并行数据挖掘系统设计与实现", 《微计算机信息》 * |
| 纪俊: "一种基于云计算的数据挖掘平台架构设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570107A (en) * | 2016-11-01 | 2017-04-19 | 广西电网有限责任公司电力科学研究院 | Big data calculation and analysis scheme fruiting system |
| CN106570107B (en) * | 2016-11-01 | 2019-08-20 | 广西电网有限责任公司电力科学研究院 | A kind of big data calculating analytical plan achievement system |
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