CN102722515A - Method for mining match field information data - Google Patents
Method for mining match field information data Download PDFInfo
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- CN102722515A CN102722515A CN2011104542509A CN201110454250A CN102722515A CN 102722515 A CN102722515 A CN 102722515A CN 2011104542509 A CN2011104542509 A CN 2011104542509A CN 201110454250 A CN201110454250 A CN 201110454250A CN 102722515 A CN102722515 A CN 102722515A
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Abstract
The invention discloses a method for mining match field information data, and the method comprises the following steps of: receiving match item information; acquiring a match item first keyword and a match item second keyword according to the match item information; receiving an inquiry database; determining first data item description information and second data item description information in data mining correlation analysis according to the match item first keyword and the match item second keyword to acquire a correlation analysis model; mining the data in the inquiry database according to the correlation analysis model to acquire mined data; connecting the match item information according to the mined data to acquire match item data; and producing a match item database according to the match item information. By utilizing the method, the problem in inquiring massive data in real time according to the field data is solved, the match field data is mined, system storage resources are saved, a pre-inquiry item can be rapidly and accurately determined from massive data, the data inquiry efficiency is improved, and the operation cost is saved.
Description
Technical field
The present invention relates to dynamically associating and inquiring about of athletic competition data, be applied in the competitive sports to the collection of field data particularly a kind of in-situ match information data mining method.
Background technology
Along with the development of television relay technology, the important component part, the particularly television relay for on-the-spot competitive sports that have live type of program of more competitive sports progressively to become TV programme have obtained significant progress in recent years; Its development not only relates in the television production field, and relates to widely in distributed network and the mobile storage field, in to on-the-spot sportscast process; Relate to team member's information and code information through regular meeting, the demand of this type of information is definite according to the actual conditions of scene match, in the prior art; Usually adopt the mode of fixing local storage, these type of data are stored, when the needs related data; From the data resource of this locality, inquire about, the problem of above method is that local data can not be accomplished real-time update; Therefore the accuracy of institute's data query can not guarantee; Simultaneously, take a large amount of system resource, increased system cost.
Realize in the process of the present invention that the inventor finding has following defective in the prior art, in the prior art in to match in the required real time data query script; The data resource is carried out this locality storage, when needs are inquired about, realize through inquiry local data resource; With upper type in implementation procedure; When having taken a large amount of systems storage resources, can't satisfy real-time update to resource data, can not satisfy the needs of data accuracy in the match.
Summary of the invention
To defective of the prior art, the invention solves the problem of carrying out the inquiry of magnanimity real time data according to field data.
The invention provides a kind of in-situ match information data mining method in order to solve above technical matters, specifically comprise:
Receive event information;
Obtain event first key word and event second key word according to said event information;
Receive Query Database;
Excavate the first data item description information and the second data item description information in the association analysis according to said event first key word and the event second key word specified data, obtain the association analysis model;
According to said association analysis model said Query Database is carried out data mining, obtain mining data;
Connect said event information acquisition event data according to said mining data;
Generate the event database according to said event data.
Wherein, said event information specifically comprises: event title, code information.
Wherein, said event first key word or event second key word specifically comprise: the code temporal information of event title, code information and said code information, the match player information of code information.
Wherein, said reception Query Database step specifically comprises: receive the database link address.
Wherein, saidly according to said association analysis model said Query Database is carried out data mining, obtain the mining data step and specifically comprise: receive output data form model, this model comprises event first key word and event second key word at least; Saidly said Query Database is carried out data mining, obtain mining data according to said association analysis model; Obtain the form mining data according to said output data form model and said mining data.
Wherein, saidly said Query Database is carried out data mining, obtain also specifically to comprise after the mining data step: visit said database link address according to said association analysis model and carry out data mining, obtain mining data according to said association analysis model.
Wherein, saidly also specifically comprise after connecting said event information acquisition event data step according to said mining data: on user interface, set up the central figure element according to event information; On user interface, set up peripheral graphic element according to said event data; According to said central figure element is central figure, and said peripheral graphic element is the figure of periphery, has between said central figure element and the said peripheral graphic element to connect to identify figure.
Wherein, said central figure element and/or peripheral graphic element also specifically comprise: shape information and pick up attribute.
Wherein, the said attribute that picks up specifically comprises: the said attribute that picks up specifically comprises: first figure and second graph; Be used to judge whether said first figure picks up, if be said second graph then from said first graph transformation.
Wherein, saidly also specifically comprise after connecting said event information acquisition event data step according to said mining data: generate the event captions according to said event data; Broadcast control system carries out captions according to said event captions and plays.
Compared with prior art, the embodiment of the invention has the following advantages: set up data mining association analysis model according to preparatory data query, database server and teledata chained address are carried out data query; Simultaneously, generate graphical interface of user, more directly Query Result is manifested according to Query Result; Thereby realized data mining to the match field data; Practice thrift system's storage resources, from mass data, can confirm preparatory query term fast and accurately; Improve efficiency data query, practiced thrift operating cost.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work property, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1: the synoptic diagram that is a kind of in-situ match information data mining method in the embodiment of the invention 1;
Fig. 2: the synoptic diagram that is another kind of in-situ match information data mining method in the embodiment of the invention 2.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obvious described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
A kind of in-situ match information data mining method is provided in the embodiment of the invention 1, as shown in Figure 1, may further comprise the steps:
S101: receive event information;
S102: obtain event first key word and event second key word;
This step specifically comprises: obtain event first key word and event second key word according to said event information;
S103: receive Query Database;
S104: obtain the association analysis model;
This step specifically comprises: excavate the first data item description information and the second data item description information in the association analysis according to said event first key word and the event second key word specified data, obtain the association analysis model;
S105: obtain mining data;
This step specifically comprises: according to said association analysis model said Query Database is carried out data mining, obtain mining data;
S106: obtain the event data;
This step specifically comprises: connect said event information acquisition event data according to said mining data;
S107: generate the event database;
This step specifically comprises: generate the event database according to said event data.
Another kind of in-situ match information data mining method is provided in the embodiment of the invention 2, as shown in Figure 2, may further comprise the steps:
S201: receive event information;
This step specifically comprises: said event information specifically comprises: event title, code information;
S202: obtain event first key word and event second key word;
This step specifically comprises: obtain event first key word and event second key word according to said event information;
Said event first key word or event second key word specifically comprise: the code temporal information of event title, code information and said code information, the match player information of code information;
S203: receive Query Database;
This step specifically comprises: said reception Query Database step specifically comprises: receive the database link address;
S204: obtain the association analysis model;
This step specifically comprises: excavate the first data item description information and the second data item description information in the association analysis according to said event first key word and the event second key word specified data, obtain the association analysis model;
S205: obtain mining data;
This step specifically comprises: according to said association analysis model said Query Database is carried out data mining, obtain mining data;
Saidly said Query Database is carried out data mining, obtains the mining data step and specifically comprise according to said association analysis model:
Receive output data form model, this model comprises event first key word and event second key word at least;
Saidly said Query Database is carried out data mining, obtain mining data according to said association analysis model;
Obtain the form mining data according to said output data form model and said mining data;
Saidly said Query Database is carried out data mining, obtain also specifically to comprise after the mining data step: visit said database link address according to said association analysis model and carry out data mining, obtain mining data according to said association analysis model;
S206: obtain the event data;
This step specifically comprises: S2061: set up central figure and peripheral graphic element; S2062: generation event captions are also play;
Connect said event information acquisition event data according to said mining data;
Saidly also specifically comprise after connecting said event information acquisition event data step according to said mining data: on user interface, set up the central figure element according to event information; On user interface, set up peripheral graphic element according to said event data; According to said central figure element is central figure, and said peripheral graphic element is the figure of periphery, has between said central figure element and the said peripheral graphic element to connect to identify figure;
Said central figure element and/or peripheral graphic element also specifically comprise: shape information and pick up attribute;
The said attribute that picks up specifically comprises: the said attribute that picks up specifically comprises: first figure and second graph; Be used to judge whether said first figure picks up, if be said second graph then from said first graph transformation;
Saidly also specifically comprise after connecting said event information acquisition event data step according to said mining data: generate the event captions according to said event data; Broadcast control system carries out captions according to said event captions and plays;
S207: generate the event database;
This step specifically comprises: generate the event database according to said event data.
Through the description of above embodiment, those skilled in the art can be well understood to the present invention and can realize through hardware, also can realize by the mode that software adds necessary general hardware platform.Based on such understanding; Technical scheme of the present invention can be come out with the embodied of software product, this software product can be stored in a non-volatile memory medium (can be CD-ROM, USB flash disk; Portable hard drive etc.) in; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the synoptic diagram of a preferred embodiment, module in the accompanying drawing or flow process might not be that embodiment of the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of the foregoing description can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
More than disclosedly be merely several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (10)
1. an in-situ match information data mining method is characterized in that, comprising:
Receive event information;
Obtain event first key word and event second key word according to said event information;
Receive Query Database;
Excavate the first data item description information and the second data item description information in the association analysis according to said event first key word and the event second key word specified data, obtain the association analysis model;
According to said association analysis model said Query Database is carried out data mining, obtain mining data;
Connect said event information acquisition event data according to said mining data;
Generate the event database according to said event data.
2. the method described in claim 1 is characterized in that, said event information specifically comprises: event title, code information.
3. the method described in claim 1 or 2; It is characterized in that said event first key word or event second key word specifically comprise: the code temporal information of event title, code information and said code information, the match player information of code information.
4. the method described in claim 1 is characterized in that, said reception Query Database step specifically comprises:
Receive the database link address.
5. the method described in claim 1 is characterized in that, saidly according to said association analysis model said Query Database is carried out data mining, obtains the mining data step and specifically comprises:
Receive output data form model, this model comprises event first key word and event second key word at least;
Saidly said Query Database is carried out data mining, obtain mining data according to said association analysis model;
Obtain the form mining data according to said output data form model and said mining data.
6. the method described in claim 4; It is characterized in that; Saidly said Query Database is carried out data mining according to said association analysis model; Obtain also specifically to comprise after the mining data step: visit said database link address according to said association analysis model and carry out data mining, obtain mining data.
7. the method described in claim 1 is characterized in that, saidly also specifically comprises after connecting said event information acquisition event data step according to said mining data:
On user interface, set up the central figure element according to event information;
On user interface, set up peripheral graphic element according to said event data;
According to said central figure element is central figure, and said peripheral graphic element is the figure of periphery, has between said central figure element and the said peripheral graphic element to connect to identify figure.
8. the method described in claim 7 is characterized in that, said central figure element and/or peripheral graphic element also specifically comprise: shape information and pick up attribute.
9. the method described in claim 8 is characterized in that, the said attribute that picks up specifically comprises:
The said attribute that picks up specifically comprises: first figure and second graph; Be used to judge whether said first figure picks up, if be said second graph then from said first graph transformation.
10. the method described in claim 1 is characterized in that, saidly also specifically comprises after connecting said event information acquisition event data step according to said mining data:
Generate the event captions according to said event data;
Broadcast control system carries out captions according to said event captions and plays.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110454250.9A CN102722515B (en) | 2011-12-30 | 2011-12-30 | A kind of method of in-situ match information data mining |
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| CN201110454250.9A CN102722515B (en) | 2011-12-30 | 2011-12-30 | A kind of method of in-situ match information data mining |
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| CN102722515A true CN102722515A (en) | 2012-10-10 |
| CN102722515B CN102722515B (en) | 2017-12-29 |
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Citations (3)
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| 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 |
| US20110060734A1 (en) * | 2009-04-29 | 2011-03-10 | Alibaba Group Holding Limited | Method and Apparatus of Knowledge Base Building |
-
2011
- 2011-12-30 CN CN201110454250.9A patent/CN102722515B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110060734A1 (en) * | 2009-04-29 | 2011-03-10 | Alibaba Group Holding Limited | Method and Apparatus of Knowledge Base Building |
| 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 |
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| 于文爽: ""数据挖掘技术在篮球技战术分析中的应用研究"", 《中国优秀硕士学位论文全文数据库》 * |
| 赵海军: ""新一代专业体育现场直播及展示平台-AutoSport"", 《广播与电视技术》 * |
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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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