CN106407230A - A data classification method and system - Google Patents
A data classification method and system Download PDFInfo
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- CN106407230A CN106407230A CN201510468103.5A CN201510468103A CN106407230A CN 106407230 A CN106407230 A CN 106407230A CN 201510468103 A CN201510468103 A CN 201510468103A CN 106407230 A CN106407230 A CN 106407230A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/282—Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
Abstract
The invention provides a data classification method and system. The method comprises the steps of adding keyword lists in project data; writing data classification marks into the keyword lists; classifying the project data according to the content of the keyword lists. According to the embodiment, keyword lists can be added in project data; by writing classification marks into the keyword lists, the data can be classified according to the classification marks in the keyword lists after the keyword lists are acquired. The method is simple and highly operable, guarantees the classification effect and improves the user experience greatly.
Description
Technical field
The present invention relates to Internet technical field, particularly to a kind of data classification method and system.
Background technology
With the development of the Internet, increasing data accumulation gets up.For the user platform in an operation it may appear that the data of magnanimity needs to process and analyzes.What this was accomplished by data imports and exports and backs up etc. work.Common data derives and carries out in data base's aspect.
Data base (Database) is the warehouse to organize, store and to manage data according to data structure, it results from before modern more than 60 year, development with information technology and market, particularly after nineteen nineties, data management is only no longer to store and management data, and is transformed into the mode of the various data managements required for user.Data base has number of different types, is all widely used in all fields to the large-scale database system that can carry out mass data storage from the form of the simplest various data that are stored with.
Data in data base is set up by numerous users are shared its information, has had been extricated from restriction and the restriction of specific procedure.Different users can be used the data in data base by respective usage；Multiple users can simultaneously in shared data bank data resource, that is, different users can access the same data in data base simultaneously.Data sharing not only meets the requirement to information content for each user, also meets the requirement of each user-to-user information communication simultaneously.
With the arriving of cloud era, big data (Big data) has also attracted increasing concern.《Write head》Analyst team think, big data (Big data) is commonly used to describe a large amount of unstructured datas and semi-structured data that a company creates, these data are downloading to can overspending time and money when relevant database is used for analyzing.Big data analysis is often linked together with cloud computing, because real-time large data set analysis need the framework as MapReduce to share out the work to tens of, hundreds of or even thousands of computers.
Big data needs special technology, effectively to process the data in the substantial amounts of tolerance elapsed time.It is applied to the technology of big data, including MPP (MPP) data base, data mining electrical network, distributed file system, distributed data base, cloud computing platform, the Internet and extendible storage system.
Big data is exactly internet development to a kind of presentation in stage now or feature, there is no need mythical it or the heart revered is kept to it, under the setting off of the technological innovation curtain with cloud computing as representative, the data that these are difficult to collect and use originally starts easily to be utilized, constantly bringing forth new ideas by all trades and professions, big data progressively can create more value for the mankind.
Data classification is exactly that according to certain standard, different project datas is divided into multiple data categories, and the foundation of this classification can be various, can be distinguished different data as needed, so that the operation such as follow-up data statisticss.
Presently, there are multiple data classification schemes, can be according to data type, Data Source, size of data etc., the different data classification of different application scenarios applications, different criteria for classifications can bring different mode classifications and result again.The each purpose having respective applied environment by oneself of various data classification, sorting technique is also different.
In prior art, various data classification schemes all can solve the problems, such as that data is classified, but, effect is numerous.Meanwhile, in place of the data classifier system producing for concrete application environment all has imperfection at present.Especially for the classification problem of user items data, excessively loaded down with trivial details, complex operation more than current scheme, it is unfavorable for applying.Still do not have one kind can improve efficiency with effectively solving data classification problem, scheme easy and simple to handle simultaneously again.
Content of the invention
The present invention provides a kind of data classification method and system, in order to solve the not easy-operating problem of data classification schemes excessively complexity in prior art.
The present invention provides a kind of data classification method, including：
Increase key column in project data；
Sort data into mark and write described key column；
Project data described in classifying content according to described key column.
Methods described also includes：
Increase multiple key columns, each key column writes one or more group indication in described project data.
Methods described also includes：
When there is no group indication in described key column, described project data is individually divided into a class.
Methods described also includes：
When group indication is to occur for the first time in described key column, set up the new classification item described project data of classification.
Methods described also includes：
Classified statistic is carried out according to described sorted project data.
Methods described also includes：
Default group indication, sets statistical classification according to described group indication.
A kind of data sorting system, including：
Key column setup unit, for increasing key column in project data；
Group indication writing unit, is used for sorting data into the mark described key column of write；
Project data taxon, for project data described in the classifying content according to described key column.
When described project data taxon is additionally operable to not have group indication in described key column, described project data is individually divided into a class.
Described project data taxon is additionally operable in described key column group indication when being to occur for the first time, sets up new classification item and classifies described project data.
Described key column setup unit is additionally operable to increase multiple key columns in described project data；
Described group indication writing unit is additionally operable to write one or more group indication in each key column.
In the embodiment of the present invention, by increasing key column in project data；Sort data into mark and write described key column；Project data described in classifying content according to described key column.The scheme of the embodiment of the present invention, can be by increasing key column in project data, group indication is write by key column, after obtaining key column, according to group indication therein, data can be classified, scheme is simple, workable, can ensure that classifying quality simultaneously, greatly improve user experience.
Other features and advantages of the present invention will illustrate in the following description, and, partly become apparent from description, or be understood by implementing the present invention.The purpose of the present invention and other advantages can be realized by specifically noted structure in the description write, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme is described in further detail.
Brief description
Accompanying drawing is used for providing a further understanding of the present invention, and constitutes a part for description, is used for explaining the present invention together with embodiments of the present invention, is not construed as limiting the invention.In the accompanying drawings：
A kind of data classification method principle flow chart that Fig. 1 provides for the embodiment of the present invention 1；
A kind of data sorting system structural representation that Fig. 2 provides for the embodiment of the present invention 2.
Specific embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are illustrated it will be appreciated that preferred embodiment described herein is merely to illustrate and explains the present invention, be not intended to limit the present invention.
As shown in figure 1, a kind of data classification method principle flow chart providing for the embodiment of the present invention 1, wherein,
Step 11, increases key column in project data.
Project data is the data in general data base's list, can be data or user items data that project produces etc..Project data is stored with sheet format in data base, and each project data is a line, and wherein each column all has the content of reality, thus can add string in data in order to indicate special content.
In the present embodiment, project data increases key column, in order to the keyword of unlabeled data classification.
Data base (Database) is the warehouse to organize, store and to manage data according to data structure, it results from before modern more than 60 year, development with information technology and market, particularly after nineteen nineties, data management is only no longer to store and management data, and is transformed into the mode of the various data managements required for user.Data base has number of different types, is all widely used in all fields to the large-scale database system that can carry out mass data storage from the form of the simplest various data that are stored with.
In informationized society, substantially effectively management and use various information resource, it is by the precondition of scientific research and decision-making management.Database technology is the core of the various information system such as management information system, the office automation system, DSS, is by the important technical of scientific research and decision-making management.
Data base refer to store in a certain way together, can for multiple users to shares, there is redundancy as little as possible, be data acquisition system independent of each other with application program.It is often necessary to some related data are put in such " warehouse " in the routine work of economic management, and processed accordingly according to the needs of management.
For example, the basic condition (worker number, name, age, sex, native place, wage, resume etc.) that the personnel department of enterprise or public institution is often required to our unit worker leaves in table, and this table just can regard a data base as.We just can inquire about the basic condition of certain worker as needed at any time it is also possible to inquire about wage Employee population in the range of certain etc. this " data warehouse ".If these work can be carried out on computers automatically, our personnel management just can reach high level.Additionally, being also required to set up numerous this " data bases " in financial management, storehouse management, production management so as to finance, warehouse, the automated management producing can be realized using computer.
The basic structure of data base divides three levels, reflects three kinds of different angles in observed data storehouse.
Physical database is called with the data base that internal schema is formed by framework；The data being formed by framework with conceptual schema is conceptual database；It is customer data base with the data base that external schema is formed by framework.
Physical data layer is the innermost layer of data base, is the set of the data of actual storage on physical storage equipment.These data are initial datas, are the objects of user's processing, are made up of bit string, character and the word that the command operating that internal model describes is processed.
Conceptual data layer is one layer of the centre of data base, is that the overall logic of data base represents.Indicate the logical communication link between the logical definition of each data and data, be the set of storage record.What it was involved is the logical relation of all objects of data base, rather than their physical conditions, is the data base under data base administrator concept.
User data layer is the data base that user sees and uses, and illustrates the data acquisition system of or some specific users use, the i.e. set of logic record.
Contact between data base's different levels is changed by mapping.
Data base is generally divided into hierarchical database, network database and three kinds of relational database.And different data bases is to contact by different data structures and to organize.
1. data structuring model
Data structure refers to the contact between the type of organization of data or data.
If representing data with D, representing the set of relationship existing between data object with R, then DS=(D, R) being referred to as data structure.
For example, it is provided with a telephone directory book, it have recorded the name of n people and corresponding telephone number.In order to easily search someone telephone number, name and number are pressed lexicographic order arrangement, and is followed by corresponding telephone number in name.So, to search someone telephone number (it is assumed that the first letter of his name is Y), then need only search just permissible with those names of Y beginning.In this example, the set D of data is exactly name and telephone number, and the contact R between them is exactly the arrangement by lexicographic order, and its corresponding data structure is exactly DS=(D, R), i.e. an array.
Data structure is divided into the physical arrangement of the logical structure data of data again.
The logical structure of data is to carry out observed data from the angle (i.e. contact between data and organizational form) of logic, and analytical data is unrelated with the storage location of data；The physical arrangement of data refers to the structure that data is deposited in a computer, i.e. the logical structure of data way of realization in a computer, so physical arrangement is also referred to as storage organization.
Here the logical structure of a data, and the method reflecting and realizing Data relationship is referred to as data model.
Popular data model has three kinds, that is, press hierarchy Model and network structure model and the positionality model set up by relational theory of Graph Theory foundation.
2. level, netted and relational database system
Hierarchy Model is substantially a kind of oriented and ordered tree (" set " in mathematics and be defined as the connected graph that a nothing is returned) having root node.For example, the organization chart of an institution of higher education.This organizational structure image one tree, school portion is exactly tree root (referred to as root node), and each system, specialty, teacher, student etc. are scolus (referred to as node), contacts referred to as side between tree root and scolus, and tree root is 1 with the ratio on side:N, i.e. tree root only one of which, branch has N number of.
It is referred to as hierarchical model data base system system according to the data base set that hierarchical model is set up.IMS (Information Management System) is its Typical Representative.
It is referred to as network database system according to the data base set that network data structure is set up, its Typical Representative is DBTG (Database Task Group).Mathematically network data structure can be converted into hierarchical data structure.
Relational expression data structure is attributed to simple binary crelation (i.e. two-dimensional table form) some complicated data structures.The personnel ralations of such as certain unit is exactly a binary crelation.
Relational database system is collectively referred to as by the data base set that relational data structure forms.
In relational database, the management being realized data on one or more related tables by computings such as classification, merging, connection or the selections to these related tables is set up to the operation almost all of data.
DBASE II is exactly the Typical Representative of this kind of data base management system.For an actual application problem (as personnel management problem) it is sometimes desirable to multiple relation just enables.Referred to as one data base of the relation set up with dBASE II (or claiming database file), and multiple data bases that corresponding multiple relations are set up call Database Systems.Another critical function of dBASE II is to realize using and managing to data base by setting up command file, and for Database Systems, corresponding command sequence file, is referred to as the application system of this data base.
Therefore, it can put it briefly, a relation is referred to as a data base, and several data bases may be constructed Database Systems.Database Systems can derive various types of secondary file and set up its application system.
Tables of data is a very important object in data base, is the basis of other objects.According to the classification situation of information, in a data base, several tables of data may be comprised.
There is no tables of data, keyword, major key, index etc. are not just known where to begin yet.Can be with all tables of data (even if not being the table being created with PowerBuilder) in video data storehouse in database painter, create tables of data, the tables of data such as the definition of modification table are very important objects in data base, are the bases of other objects.
Tables of data (or claiming table) is one of most important ingredient of data base.Data base is a framework, and tables of data is only its flesh and blood.In " Education Administration Information System ", teaching management " data base comprises 6 tables of data around particular topic respectively：" teacher " table " course " table, " achievement " table, " student " table, " class " table and " giving lessons " table, for information such as management drop loss process middle school student, teacher, courses.These each independent tables of data pass through opening relationships coupled, become can intersect consult, open-and-shut data base.
Project data in the present embodiment i.e. presented in tables of data in data base.Thus corresponding Data Labelses can be increased by way of increasing key column.Of course, it is possible to increase multiple key columns in described project data, each key column can write one or more group indication.
Step 12, sorts data into mark and writes described key column.
After the completion of key column increases, need in increased key column write content.The key column of each project data writes corresponding content.In tables of data, each project data is data line, is respectively written into corresponding content in key column, and this content is exactly group indication.
Set in advance during group indication, set according to the classification that project data can be divided into.For example, if project data is divided into two classes, can be in key column write 0 and 1 to classify.Certainly, if being divided into more classes, can have the concrete classification policy of policy content in key column write.
Each project data can increase multiple key columns, and each key column can be respectively written into different group indications.That is, same project data can be divided into different classifications according to the group indication in different key columns, the group indication of which kind of key column is specifically adopted to depend on specific criteria for classification and purposes.
When there is no group indication in described key column, described project data is individually divided into a class.That is, when not writing content in key column, then this project data needs individually to classify, and distinguishes with other project datas.
When group indication is to occur for the first time in described key column, set up the new classification item described project data of classification.When in individual key column, group indication is new, when not having same group indication, subsequent classification is also required to individually set up new criteria for classification before.
Step 13, project data described in the classifying content according to described key column.
The content of described key column is group indication, certainly, does not have content in the key column also having, then be individually divided into a class.So, the classification of project data is just completed only according to key column.
Further, classified statistic can be carried out according to described sorted project data.So, sorted data can carry out follow-up statistical operation.
Further, need default group indication before, then statistical classification is set according to described group indication.
In the embodiment of the present invention, by increasing key column in project data；Sort data into mark and write described key column；Project data described in classifying content according to described key column.The scheme of the embodiment of the present invention, can be by increasing key column in project data, group indication is write by key column, after obtaining key column, according to group indication therein, data can be classified, scheme is simple, workable, can ensure that classifying quality simultaneously, greatly improve user experience.
As shown in Fig. 2 a kind of data sorting system structural representation providing for the embodiment of the present invention 2, wherein,
Key column setup unit 21, for increasing key column in project data；
Group indication writing unit 22, is used for sorting data into the mark described key column of write；
Project data taxon 23, for project data described in the classifying content according to described key column.
Further, when above-mentioned project data taxon 23 is additionally operable to not have group indication in described key column, described project data is individually divided into a class.
Further, above-mentioned project data taxon 23 is additionally operable in described key column group indication when being to occur for the first time, sets up new classification item and classifies described project data.
Further, above-mentioned key column setup unit 21 is additionally operable to increase multiple key columns in described project data；
Described group indication writing unit 22 is additionally operable to write one or more group indication in each key column.
In sum, in the embodiment of the present invention, by increasing key column in project data；Sort data into mark and write described key column；Project data described in classifying content according to described key column.The scheme of the embodiment of the present invention, can be by increasing key column in project data, group indication is write by key column, after obtaining key column, according to group indication therein, data can be classified, scheme is simple, workable, can ensure that classifying quality simultaneously, greatly improve user experience.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can be in the form of complete hardware embodiment, complete software embodiment or the embodiment combining software and hardware aspect.And, the present invention can be using in the form of one or more upper computer programs implemented of computer-usable storage medium (including but not limited to disk memory and optical memory etc.) wherein including computer usable program code.
The present invention is to describe with reference to the flow chart of method according to embodiments of the present invention, equipment (system) and computer program and/or block diagram.It should be understood that can be by the combination of the flow process in each flow process in computer program instructions flowchart and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can be provided to produce a machine so that producing the device for the function of realizing specifying in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame by the instruction of the computing device of computer or other programmable data processing device to the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device.
These computer program instructions may be alternatively stored in and can guide in the computer-readable memory that computer or other programmable data processing device work in a specific way, so that the instruction being stored in this computer-readable memory produces the manufacture including command device, the function that the realization of this command device is specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, so that series of operation steps is executed on computer or other programmable devices to produce computer implemented process, thus the step that the instruction of execution provides the function of specifying in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame for realization on computer or other programmable devices.
Obviously, those skilled in the art the present invention can be carried out various change and modification without departing from the spirit and scope of the present invention.So, if these modifications of the present invention and modification belong within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to comprise these changes and modification.
Claims (10)
1. a kind of data classification method is it is characterised in that include：
Increase key column in project data；
Sort data into mark and write described key column；
Project data described in classifying content according to described key column.
2. the method for claim 1 is it is characterised in that methods described also includes：
Increase multiple key columns, each key column writes one or more contingency table in described project data
Will.
3. method as claimed in claim 1 or 2 is it is characterised in that methods described also includes：
When there is no group indication in described key column, described project data is individually divided into a class.
4. method as claimed in claim 3 is it is characterised in that methods described also includes：
When group indication is to occur for the first time in described key column, set up the new classification item described item of classification
Mesh number evidence.
5. the method for claim 1 is it is characterised in that methods described also includes：
Classified statistic is carried out according to described sorted project data.
6. method as claimed in claim 5 is it is characterised in that methods described also includes：
Default group indication, sets statistical classification according to described group indication.
7. a kind of data sorting system is it is characterised in that include：
Key column setup unit, for increasing key column in project data；
Group indication writing unit, is used for sorting data into the mark described key column of write；
Project data taxon, for project data described in the classifying content according to described key column.
8. system as claimed in claim 7 is it is characterised in that described project data taxon is also used
When there is no group indication in described key column, described project data is individually divided into a class.
9. system as claimed in claim 7 is it is characterised in that described project data taxon is also used
When group indication in described key column is to occur for the first time, set up the new classification item described item of classification
Mesh number evidence.
10. system as claimed in claim 7 is it is characterised in that described key column setup unit is also used
In increasing multiple key columns in described project data；
Described group indication writing unit is additionally operable to write one or more group indication in each key column.
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