CN102722515B - A kind of method of in-situ match information data mining - Google Patents
A kind of method of in-situ match information data mining Download PDFInfo
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- CN102722515B CN102722515B CN201110454250.9A CN201110454250A CN102722515B CN 102722515 B CN102722515 B CN 102722515B CN 201110454250 A CN201110454250 A CN 201110454250A CN 102722515 B CN102722515 B CN 102722515B
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Abstract
The invention discloses a kind of method of in-situ match information data mining, specifically include:Receive event information;According to the first keyword of event acquisition of information event and the keyword of event second;Receive inquiry database;The the first data item description information and the second data item description information in data mining association analysis are determined according to the keyword of event first and the keyword of event second, obtains relation analysis model;Data mining is carried out to the inquiry database according to relation analysis model, obtains mining data;The event information acquisition event data are coupled according to mining data;Event database is generated according to event data.The present invention solves the problems, such as to carry out the inquiry of magnanimity real time data according to field data, realizes the data mining to field data of competing, saved system memory resources, from mass data, pre- query term can be fast and accurately determined, efficiency data query is improved, has saved operating cost.
Description
Technical field
Dynamically associating and inquiring about the present invention relates to athletic competition data, is adopted applied in competitive sports to field data
Collection, more particularly to a kind of method of in-situ match information data mining.
Background technology
With the development of television relay technology, there is the weight that more sports event live broadcast class programs progressively turn into TV programme
Part is wanted, the television relay especially for live sporting events has obtained significant progress in recent years, and it develops not
Only relate in television production field, and be widely related in distributed network and mobile field of storage, to life match
In relaying process, often it is related to team member information and code information, the demand of this type of information is according to the reality of life match
Situation determines that in the prior art, generally use fixes the mode that is locally stored, and such data are stored, when needing phase
When closing data, inquired about, be the problem of above method, local data can not possibly be accomplished in real time from the data resource of local
Renewal, therefore the accuracy of inquired about data cannot be guaranteed, meanwhile, substantial amounts of system resource is occupied, increases system cost.
In inventor realizes process of the present invention, discovery has following defect in the prior art, in the prior art to match
Needed for real time data query process in, data resource is locally stored, when need inquiry when, by inquiring about local number
Realize according to resource, with upper type in implementation process, while a large amount of system memory resources are occupied, can not meet to resource
The real-time update of data, it is impossible to meet the needs of data accuracy in match.
The content of the invention
For in the prior art the defects of, the present invention, which solves, to be carried out magnanimity real time data inquiry according to field data and asking
Topic.
In order to solve above technical problem, the invention provides a kind of method of in-situ match information data mining, specific bag
Include:
Receive event information;
According to the first keyword of the event acquisition of information event and the keyword of event second;
Receive inquiry database;
Determined according to the keyword of event first and the keyword of event second in data mining association analysis
The first data item description information and the second data item description information, obtain relation analysis model;
Data mining is carried out to the inquiry database according to the relation analysis model, obtains mining data;
The event information acquisition event data are coupled according to the mining data;
Event database is generated according to the event data.
Wherein, the event information specifically includes:Event title, code information.
Wherein, the keyword of event first or the keyword of event second specifically include:Event title,
The match sportsman letter of the code temporal information of code information and the code information, code information
Breath.
Wherein, the inquiry database steps that receive specifically include:Receive database link address.
Wherein, it is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain and excavate number
Specifically included according to step:Rreceive output data format model, the model comprise at least the keyword of event first and game item
The keyword of mesh second;It is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain and excavate number
According to;Form mining data is obtained according to the output data form model and the mining data.
Wherein, it is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain and excavate number
Also specifically included according to after step:The database link address is accessed according to the relation analysis model and carries out data mining, is obtained
Obtain mining data.
Wherein, after the event information acquisition event data step according to mining data connection also
Specifically include:Central figure element is established according to event information on a user interface;Existed according to the event data
Circumference pattern element is established in user interface;According to figure centered on the central figure element, the circumference pattern element is
The figure on periphery, have between the central figure element and the circumference pattern element and couple mark figure.
Wherein, the central figure element and/or circumference pattern element also specifically include:Shape information and pickup attribute.
Wherein, the pickup attribute specifically includes:The pickup attribute specifically includes:First figure and second graph;With
In judging whether first figure picks up, if so, being then the second graph from first graph transformation.
Wherein, after the event information acquisition event data step according to mining data connection also
Specifically include:Event captions are generated according to the event data;Broadcast control system enters according to the event captions
Row captions play.
Compared with prior art, the embodiment of the present invention has advantages below:Data mining is established according to pre- inquiry data to close
Join analysis model, data query is carried out to database server and teledata chained address, meanwhile, generated according to Query Result
Graphical interface of user, more directly Query Result is given and shown, it is achieved thereby that the data mining to field data of competing,
System memory resources have been saved, from mass data, pre- query term can have fast and accurately been determined, improve efficiency data query,
Operating cost is saved.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1:It is a kind of schematic diagram of the method for in-situ match information data mining in the embodiment of the present invention 1;
Fig. 2:It is the schematic diagram of the method for another in-situ match information data mining in the embodiment of the present invention 2.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Based on the present invention
In embodiment, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
A kind of method of in-situ match information data mining is provided in the embodiment of the present invention 1, as shown in figure 1, including with
Lower step:
S101:Receive event information;
S102:Obtain the keyword of event first and the keyword of event second;
This step specifically includes:According to the first keyword of the event acquisition of information event and event
Two keywords;
S103:Receive inquiry database;
S104:Obtain relation analysis model;
This step specifically includes:Data are determined according to the keyword of event first and the keyword of event second
The the first data item description information and the second data item description information in association analysis are excavated, obtains relation analysis model;
S105:Obtain mining data;
This step specifically includes:Data mining is carried out to the inquiry database according to the relation analysis model, obtained
Mining data;
S106:Obtain event data;
This step specifically includes:The event information acquisition event data are coupled according to the mining data;
S107:Generate event database;
This step specifically includes:Event database is generated according to the event data.
The method that another in-situ match information data mining is provided in the embodiment of the present invention 2, as shown in Fig. 2 including
Following steps:
S201:Receive event information;
This step specifically includes:The event information specifically includes:Event title, code information;
S202:Obtain the keyword of event first and the keyword of event second;
This step specifically includes:According to the first keyword of the event acquisition of information event and event
Two keywords;
The keyword of event first or the keyword of event second specifically include:Event title, match
The code temporal information of record information and the code information, the match player information of code information;
S203:Receive inquiry database;
This step specifically includes:The inquiry database steps that receive specifically include:Receive database link address;
S204:Obtain relation analysis model;
This step specifically includes:Data are determined according to the keyword of event first and the keyword of event second
The the first data item description information and the second data item description information in association analysis are excavated, obtains relation analysis model;
S205:Obtain mining data;
This step specifically includes:Data mining is carried out to the inquiry database according to the relation analysis model, obtained
Mining data;
It is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain mining data step
Specifically include:
Rreceive output data format model, the model comprises at least the keyword of event first and event second is closed
Key word;
It is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain mining data;
Form mining data is obtained according to the output data form model and the mining data;
It is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain mining data step
Also specifically include afterwards:The database link address is accessed according to the relation analysis model and carries out data mining, is excavated
Data;
S206:Obtain event data;
This step specifically includes:S2061:Establish central figure and circumference pattern element;S2062:Generate event word
Curtain simultaneously plays out;
The event information acquisition event data are coupled according to the mining data;
It is also specific after the event information acquisition event data step according to mining data connection
Including:Central figure element is established according to event information on a user interface;According to the event data in user
Circumference pattern element is established on interface;According to figure centered on the central figure element, the circumference pattern element is periphery
Figure, between the central figure element and the circumference pattern element have couple identify figure;
The central figure element and/or circumference pattern element also specifically include:Shape information and pickup attribute;
The pickup attribute specifically includes:The pickup attribute specifically includes:First figure and second graph;For judging
Whether first figure picks up, if so, being then the second graph from first graph transformation;
It is also specific after the event information acquisition event data step according to mining data connection
Including:Event captions are generated according to the event data;Broadcast control system carries out word according to the event captions
Curtain plays;
S207:Generate event database;
This step specifically includes:Event database is generated according to the event data.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can lead to
Hardware realization is crossed, the mode of necessary general hardware platform can also be added by software to realize.Based on such understanding, this hair
Bright technical scheme can be embodied in the form of software product, and the software product can be stored in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are causing a computer equipment (can be
Personal computer, server, or network equipment etc.) perform method described in each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, module or stream in accompanying drawing
Journey is not necessarily implemented necessary to the present invention.
It will be appreciated by those skilled in the art that the module in device in embodiment can describe be divided according to embodiment
It is distributed in the device of embodiment, respective change can also be carried out and be disposed other than in one or more devices of the present embodiment.On
The module for stating embodiment can be merged into a module, can also be further split into multiple submodule.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Disclosed above is only several specific embodiments of the present invention, and still, the present invention is not limited to this, any ability
What the technical staff in domain can think change should all fall into protection scope of the present invention.
Claims (9)
- A kind of 1. method of in-situ match information data mining, it is characterised in that including:Receive event information;According to the first keyword of the event acquisition of information event and the keyword of event second;Receive inquiry database;In data mining association analysis is determined according to the keyword of event first and the keyword of event second One data item description information and the second data item description information, obtain relation analysis model;Data mining is carried out to the inquiry database according to the relation analysis model, obtains mining data;The event information acquisition event data are coupled according to the mining data, also specifically included:According to match Project information establishes central figure element on a user interface, and periphery is established on a user interface according to the event data Graphic element, according to figure centered on the central figure element, the circumference pattern element is the figure on periphery, the center Have between graphic element and the circumference pattern element and couple mark figure;Event database is generated according to the event data.
- 2. method as described in claim 1, it is characterised in that the event information specifically includes:Event name Claim, code information.
- 3. the method as described in claim 1 or 2, it is characterised in that the keyword of event first or event Second keyword specifically includes:The code time of event title, code information and the code information Information, the match player information of code information.
- 4. method as described in claim 1, it is characterised in that the inquiry database steps that receive specifically include:Receive database link address.
- 5. method as described in claim 1, it is characterised in that it is described according to the relation analysis model to the inquiry number Data mining is carried out according to storehouse, mining data step is obtained and specifically includes:Rreceive output data format model, the model comprises at least the keyword of event first and event second is crucial Word;It is described that data mining is carried out to the inquiry database according to the relation analysis model, obtain mining data;Form mining data is obtained according to the output data form model and the mining data.
- 6. method as described in claim 4, it is characterised in that it is described according to the relation analysis model to the inquiry number Data mining is carried out according to storehouse, is also specifically included after obtaining mining data step:The number is accessed according to the relation analysis model Data mining is carried out according to storehouse chained address, obtains mining data.
- 7. method as described in claim 1, it is characterised in that the central figure element and/or circumference pattern element are also Specifically include:Shape information and pickup attribute.
- 8. method as described in claim 7, it is characterised in that the pickup attribute specifically includes:The pickup attribute specifically includes:First figure and second graph;For judging whether first figure picks up, if It is then the second graph from first graph transformation to be.
- 9. method as described in claim 1, it is characterised in that described that the event is coupled according to the mining data Also specifically included after information acquisition event data step:Event captions are generated according to the event data;Broadcast control system carries out captions broadcasting according to the event captions.
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101655857A (en) * | 2009-09-18 | 2010-02-24 | 西安建筑科技大学 | Method for mining data in construction regulation field based on associative regulation mining technology |
CN101961552A (en) * | 2010-08-24 | 2011-02-02 | 龚铭新 | Wirelessly networking sports timing and transmitting system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101876981B (en) * | 2009-04-29 | 2015-09-23 | 阿里巴巴集团控股有限公司 | A kind of method and device building knowledge base |
-
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101655857A (en) * | 2009-09-18 | 2010-02-24 | 西安建筑科技大学 | Method for mining data in construction regulation field based on associative regulation mining technology |
CN101961552A (en) * | 2010-08-24 | 2011-02-02 | 龚铭新 | Wirelessly networking sports timing and transmitting system |
Non-Patent Citations (2)
Title |
---|
"数据挖掘技术在篮球技战术分析中的应用研究";于文爽;《中国优秀硕士学位论文全文数据库》;20100831;第2章第2.1.1节、第2.2节、第3章、第4.3节、第5章、图5.8-5.12 * |
"新一代专业体育现场直播及展示平台-AutoSport";赵海军;《广播与电视技术》;20080731(第7期);第42-46页 * |
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Effective date of registration: 20190321 Address after: 100195 No. 621, 6th floor, No. 1 Building, 131 North West Fourth Ring Road, Haidian District, Beijing Patentee after: Beijing Xinaote Intelligent Sports Innovation Development Co., Ltd. Address before: 100195 new technology building, 49 Wukesong Road, Haidian District, Beijing Patentee before: China Digital Video (Beijing) Limited |
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Granted publication date: 20171229 Termination date: 20201230 |