CN110019141A - Big data analysis system towards university educational management decision - Google Patents
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Abstract
The invention discloses a kind of big data analysis system towards university educational management decision, which includes: data Layer, supporting layer and decision-making level；Wherein, the data Layer is located at the bottom of system, is the basis for constructing decision system data warehouse, huge data basis is provided for the supporting layer；The supporting layer accesses the bridge of the data Layer as the decision-making level, is managed collectively to data source, provides standard interface for the decision-making level；The decision-making level is responsible for providing general-purpose platform and subject-oriented platform, to cope with the unstable problem of decision requirements.
Description
Technical field
The invention belongs to big data analysis technical fields, are related to a kind of big data analysis towards university educational management decision
System.
Background technique
With the continuous development of computer technology, internet and Internet of Things, various system isomeric datas are with unprecedented
Surprising speed rapidly increase, " big data " epoch have arrived.Big data refers to that data structure is more complicated, data scale is big
Data acquisition system, the processing time and data processing that data volume can be born far beyond general data management tool
And storage management ability.
Current many colleges and universities have accumulated a large amount of teaching resource and management data, so as to form huge, structure is multiple
Miscellaneous data set provides strong support for the teaching management decision of colleges and universities, indispensable at university educational management
A part.With the continuous propulsion of the reform in education, demand of the colleges and universities to data turns from original simple transactional manner
To Information analysis processing, data mining and decision support etc..Therefore, vertical Analysis of Policy Making is built jointly for existing large data sets
System has important practical significance to colleges and universities' Analysis of Policy Making.
Decision analysis system is an important technology in current Knowledge Discovery and data management field, it is based on nerve net
The methods of network algorithm, machine learning and artificial intelligence carry out uniform data acess, to obtain data in big data
Between it is inherent connect each other, and wherein it is that may be present certain rule, thus aid decision making person quickly make correctly certainly
Plan, and then the science of university educational management is improved, good decision-making management is brought for colleges and universities.
Summary of the invention
It is an object of that present invention to provide a kind of big data analysis systems towards university educational management decision, for colleges and universities' number
Time and data processing and storage management ability have been handled far beyond what traditional data management tool can be born according to amount
Problem carries out data mining and Knowledge Discovery by the methods of neural network algorithm, machine learning and artificial intelligence, thus big
Obtained in data it is inherent between data connect each other and rule, effectively aid decision making person is quickly made that correct decision,
And then the science of university educational management is promoted, good decision-making management is brought for colleges and universities.
In order to solve the above technical problems, the present invention adopts the following technical scheme that: one kind is towards university educational management decision
Big data analysis system, which includes: data Layer, supporting layer and decision-making level；Wherein, the data Layer is located at system
Bottom is the basis for constructing decision system data warehouse, huge data basis is provided for the supporting layer；The supporting layer is made
The bridge that the data Layer is accessed for the decision-making level, is managed collectively data source, provides standard for the decision-making level
Interface；The decision-making level is responsible for providing general-purpose platform and subject-oriented platform, to cope with the unstable problem of decision requirements.
Further, the data Layer includes various data sources outer in the school, mainly by the various application system numbers of school
It is formed according to various backup databases and the various other data resources in archive and school of library, data center.
Further, the core of the supporting layer is data warehouse, can be managed collectively to different data sources, is described
The various applications of decision-making level provide standard interface, to construct the more high-dimensional Data Mart of agent-oriention analysis.
Further, the data in the data warehouse carry out summarizing polymerization according to specific level, constitute data analysis
Multidimensional view, so that the decision-making level carries out analysis use from different perspectives.
Further, the decision-making level is made of general-purpose platform and subject-oriented platform.
Further, the general-purpose platform is responsible for providing simple analytical model and frequently-used data method for digging, so as to logical
Specialized application analysis system need not be established in normal situation.
Further, the subject-oriented platform is responsible for extracting specific data from data warehouse, establishes the number of subject-oriented
According to fairground and the analysis system of subject-oriented.
The present invention have compared with prior art it is below the utility model has the advantages that
The present invention program is directed to the processing time that colleges and universities' data volume can have been born far beyond traditional data management tool
And data processing and the problem of storage management ability, by the methods of neural network algorithm, machine learning and artificial intelligence into
Row data mining and Knowledge Discovery, thus in big data obtain data between in connect each other and rule, effectively help
It helps policymaker to be quickly made that correct decision, and then promotes the science of university educational management, bring good determine for colleges and universities
Plan management.
Detailed description of the invention
Fig. 1 is the general frame figure of the big data analysis system towards university educational management decision
Fig. 2 is the system assumption diagram of the big data analysis system towards university educational management decision
Specific embodiment
With reference to the accompanying drawing and specific embodiment to the present invention carry out in further detail with complete explanation.It is understood that
It is that described herein the specific embodiments are only for explaining the present invention, rather than limitation of the invention.
Referring to Fig.1, a kind of big data analysis system towards university educational management decision of the invention, the system include:
Data Layer, supporting layer and decision-making level；Wherein, the data Layer is located at the bottom of system, is building decision system data warehouse
Basis, huge data basis is provided for the supporting layer；The supporting layer accesses the data Layer as the decision-making level
Bridge, data source is managed collectively, provides standard interface for the decision-making level；The decision-making level is responsible for providing general
Platform and subject-oriented platform, to cope with the unstable problem of decision requirements.
Firstly, data Layer is located at the bottom of system, this layer is the basis for constructing the data warehouse of decision system.Data Layer packet
Various data sources outer in the school are included, internal data source mainly includes the database of the various application systems of school, data center
Various other data resources in various backup databases and archive and school.External data source includes each except school
Kind database and data resource.It is school to form the mass data warehouse of a content broad covered area and time span length
Decision support provides huge data basis.
Supporting layer accesses the bridge of the data Layer as decision-making level, efficiently solves analysis decision requirement objective and is difficult to
The characteristics of quantization, the layer are collected data in different data sources, classify, extracting, cleaning, converting to be loaded into data bins
Library can be managed collectively different data sources by data warehouse, can provide standard for the various applications of decision-making level
Interface, so as to construct the more high-dimensional Data Mart of agent-oriention analysis.Meanwhile supporting layer is by the number in data warehouse
Summarize polymerization according to according to specific level, constitutes the multidimensional view of data analysis, from different perspectives so as to the decision-making level
Carry out analysis use.
Decision-making level is made of general-purpose platform and subject-oriented platform.It is general in order to adapt to the unstable feature of decision requirements
Platform is to provide some simple analytical models and common data digging method, specially answers to establish in general
Use analysis system.Greatly improve the flexibility and versatility of DSS.It is needed for relatively stable and complicated decision
It asks, subject-oriented platform extracts specific data from data warehouse, establishes the Data Mart of subject-oriented, establishes the analysis to theme
System.
Referring to Fig. 2, the overall thought of the big data analysis system Construction towards university educational management decision is not consider number
According to the structure problem of data in source, first by the expert in terms of university managementt by the managerial knowledge accumulated arrange, then
The language that these knowledge transformations can be identified and be stored at computer, to form knowledge base.Secondly, by knowledge base and expert
Knowledge extracts useful data from various data sources, with new group after being collected, classify to data, extracting, cleaning, converting
Conjunction form is stored into data warehouse.In data warehouse, the data after classification, extraction, cleaning, conversion are with a series of
The form storage of metadata.Finally, it is flat to can establish general and subject-oriented analysis on the basis of data warehouse
Platform, it is for statistical analysis from various dimensions, finally support is provided for different levels policymaker.Therefore, the architecture of this system by
The parts such as data source, data collection, classification, cleaning, conversion, storage and management, data mining and Knowledge Discovery, analysis decision group
At.
Data source in data Layer refers to the various structurings and non-structured data come inside or outside school, these
Data can be the data for being also possible to non-relational database from relational database, such as student status information, work information, people
Thing management information, book information etc. are structural data.The paper information etc. of unstructured data such as instructional video, archive, number
It is the source that school's DSS obtains all kinds of teaching management information according to source, classify from the data process of data source acquisition,
It is stored in data warehouse after cleaning conversion and corresponding processing, the basic data as analysis and decision system.
The collection of data is mainly completed in data collection, extraction, classification, cleaning, the conversion the step of, extracts conversion, clear
The work such as wash and monitor.Purpose is to arrange to the information from different data sources, while handle is possible to impact analysis decision
Data conversion at system data format；Data cleansing is the consistency in order to be to maintain data, while in reduction system
Data redundancy；Monitor whether the data in data source change simultaneously, it is found that it is periodically right when the data of information source change
Data source data is collected, extracts, classifies, cleans, converts, to expand and update the data information in decision system.
Data storage is mainly to the storage and management of structuring and unstructured data in data warehouse, in data warehouse
Store magnanimity significant data related with colleges and universities' decision.Knowledge base in supporting layer houses the general character of a large amount of Analysis of Policy Making
Knowledge, education legislation, student status management regulation etc.；Model library stores the system moving model and processing model of Analysis of Policy Making, simultaneously
The data storage of entire data warehouse uses metadata management, and the data that data storage and management are mainly responsible for data warehouse are same
Step, integration work.
The technologies such as machine learning, neural network, knowledge processing and conventional statistics are mainly taken in data mining and value discovery
The method that algorithm and computational intelligence (genetic algorithm, fuzzy set etc.) and database combine is learned, from the big data of data warehouse
Excavate hiding rule, that is to say, that knowledge is excavated and found in data warehouse, existing certain mutually closes between grasping big data
Connection, the information for extracting subject-oriented are analyzed, and are provided effective foundation for various administrative decision layer decisions.
Decision-making level is mainly made of the analysis platform towards general analysis platform and subject-oriented, towards general analysis
Platform be for school instruction reform propulsion, regulatory requirement have the characteristics that it is unstable, provide some simple analytical models and
Conventional data digging method, can provide the reference of high-speed decision for management level.For metastable school's strategic decision
Demand can extract subject-oriented data from data warehouse, to establish Data Mart, the decision for developing subject-oriented is flat
Platform.For each management level decision of school, it can use these Gneral analysis and subject-oriented analysis platform, to carry out more
The comprehensive analysis of dimension, to make the strategic decision and daily administrative decision of school.
The above is not intended to restrict the invention, and to those skilled in the art, the present invention can have various change
Dynamic and variation.All any modification, equivalent replacement, improvement and so within the spirit and principles of the present invention, should be included in
Within protection scope of the present invention.
Claims (7)
1. the big data analysis system towards university educational management decision, which is characterized in that the system comprises: data Layer, branch
Support layer and decision-making level；Wherein, the data Layer is located at the bottom of system, is the basis for constructing decision system data warehouse, is
The supporting layer provides huge data basis；The supporting layer accesses the bridge of the data Layer as the decision-making level, right
Data source is managed collectively, and provides standard interface for the decision-making level；The decision-making level is responsible for providing general-purpose platform and face
To theme platform, to cope with the unstable problem of decision requirements.
2. the big data analysis system according to claim 1 towards university educational management decision, which is characterized in that described
Data Layer includes various data sources outer in the school, mainly by the various application system databases of school, data center it is various standby
Various other data resources in part database and archive and school form.
3. the big data analysis system according to claim 1 towards university educational management decision, which is characterized in that described
The core of supporting layer is data warehouse, can be managed collectively to different data sources, is provided for the various applications of the decision-making level
Standard interface, to construct the more high-dimensional Data Mart of agent-oriention analysis.
4. the big data analysis system according to claim 3 towards university educational management decision, which is characterized in that described
Data in data warehouse carry out summarizing polymerization according to specific level, constitute the multidimensional view of data analysis, determine so as to described
Plan layer carries out analysis use from different perspectives.
5. the big data analysis system according to claim 1 towards university educational management decision, which is characterized in that described
Decision-making level is made of general-purpose platform and subject-oriented platform.
6. the big data analysis system according to claim 5 towards university educational management decision, which is characterized in that described
General-purpose platform is responsible for providing simple analytical model and frequently-used data method for digging, specially answers to establish in general
Use analysis system.
7. the big data analysis system according to claim 5 towards university educational management decision, which is characterized in that described
Subject-oriented platform is responsible for extracting specific data from data warehouse, establishes the Data Mart of subject-oriented and point of subject-oriented
Analysis system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111986042A (en) * | 2020-08-24 | 2020-11-24 | 绵阳上策网络科技有限公司 | Agricultural big data service system constructed based on internet technology |
| CN116860859A (en) * | 2023-09-01 | 2023-10-10 | 江西省信息中心(江西省电子政务网络管理中心 江西省信用中心 江西省大数据中心) | Multi-source heterogeneous data interface creation method and device and electronic equipment |
-
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- 2017-12-30 CN CN201711488544.7A patent/CN110019141A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111986042A (en) * | 2020-08-24 | 2020-11-24 | 绵阳上策网络科技有限公司 | Agricultural big data service system constructed based on internet technology |
| CN116860859A (en) * | 2023-09-01 | 2023-10-10 | 江西省信息中心(江西省电子政务网络管理中心 江西省信用中心 江西省大数据中心) | Multi-source heterogeneous data interface creation method and device and electronic equipment |
| CN116860859B (en) * | 2023-09-01 | 2023-12-22 | 江西省信息中心(江西省电子政务网络管理中心 江西省信用中心 江西省大数据中心) | Multi-source heterogeneous data interface creation method and device and electronic equipment |
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Application publication date: 20190716 |