CN103327090A - Data distribution method and system - Google Patents
Data distribution method and system Download PDFInfo
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- CN103327090A CN103327090A CN2013102370028A CN201310237002A CN103327090A CN 103327090 A CN103327090 A CN 103327090A CN 2013102370028 A CN2013102370028 A CN 2013102370028A CN 201310237002 A CN201310237002 A CN 201310237002A CN 103327090 A CN103327090 A CN 103327090A
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Abstract
The invention provides a data distribution method and system. The data distribution method includes the following steps: collecting and extracting sales data, presetting a demand grade for a network platform, according to the demand grade of the network platform, filtering the sales data to obtain excavation data corresponding to the network platform, and distributing the excavation data corresponding to the network platform to the network platform. The data distribution system particularly comprises an extracting module, a grading module, a filtering module and a distributing module, wherein the extracting module is used for collecting and extracting the sales data, the grading module is used for presetting the demand grade for the network platform, the filtering module is used for filtering the sales data to obtain the excavation data corresponding to the network platform according to the demand grade of the network platform, and the distributing module is used for distributing the excavation data corresponding to the network platform to the network platform.
Description
Technical field
The present invention relates to the information management technique field, particularly a kind of data distributing method and system.
Background technology
In information technology highly developed today, the Internet becomes necessary part in the daily life already; And carry out purchase and consumption and pay also becoming very general already by network.A large amount of network platforms can be issued sales information for trade company at present, and Sales Channel is provided.The user can finishing of more convenient and quicker be consumed and shopping, and home-confined is available needed commodity and service item.We can say by the pattern of network marketing and can desire to make money or profit participation in many ways, is a kind of marketing model that has a extensive future, and also is following trend of the times.
Along with network marketing develops on a large scale, derived at present a kind of platform management system that can realize large scale network gondola sales information sharing and sale intercommunication, this system can connect a large amount of network platforms, thereby realizes that large-scale sales information is shared and the sale intercommunication.Described management system and a large amount of network platform coordinate operation have constituted large-scale alliance's platform jointly.The data message that is containing magnanimity in this alliance's platform.For each was connected each network platform in the platform management system, the data message in alliance's platform had extremely important meaning for information excavating; With respect to the sight that traditional network platform is fought separately, data message is abundanter in alliance's platform, and covering scope is more extensive, if in order to data mining, tends to obtain more valuable achievement.
But, each network platform is independent of each other after all in essence, even under the background that alliance's platform information height is shared, still has the security information of a part each other, can not realize absolute sharing.So, according to which kind of mode excavate for the network platform to network platform distribute data information, just become a problem demanding prompt solution.Also there is not a kind of method in the art, can either has the data message of tap value to network platform distribution, the demand of maintaining secrecy each other between again can the network platform.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of data distributing method and system, this system passes through to distinguish network platform rank, and sends the information of corresponding contents according to rank, that realizes is satisfying under the situation of privacy requirements, and the data message with tap value is provided to the network platform.
For achieving the above object, the present invention has following technical scheme:
A kind of data distributing method said method comprising the steps of:
Collect sales data and extraction;
The demand levels of the default network platform according to the demand levels of the network platform, filters out the mining data of this network platform correspondence from sales data;
The mining data of this network platform correspondence is distributed to this network platform.
Described collection sales data and extraction are specially:
Obtain the required sales data of the network platform according to the configuration collection;
The sales data that extraction is collected, and be converted to unified format;
Sales data is carried out digital signature.
Described collection sales data is specially:
Real-time collecting sales data in the process of platform management system generation sales behavior;
Or from the database of platform management system, collect sales data.
Described method also comprises:
Digital signature to sales data authenticates.
The demand levels of the default network platform, according to the demand levels of the network platform, the mining data that filters out this network platform correspondence from sales data is specially:
In advance for the network platform arranges demand levels, and be set at the corresponding distributing data type of each demand levels;
According to the type that arranges, filtering out from the sales data of having extracted needs to divide the sales data that is sent to this network platform; The sales data that filtration is obtained is as mining data.
Described method also comprises:
Before being distributed to the network platform, mining data is carried out Fuzzy Processing.
Described method also comprises:
Before being distributed to the network platform, mining data is carried out digital signature.
A kind of data distribution systems, described system specifically comprises following:
Extraction module is used for collecting sales data and extraction;
Diversity module is used to network platform preset need rank;
Filtering module is used for the demand levels according to the network platform, filters out the mining data of this network platform correspondence from sales data;
Distribution module is used for the mining data of this network platform correspondence is distributed to this network platform.
Described extraction module specifically comprises:
Collector unit is used for obtaining the required sales data of the network platform according to the configuration collection;
Processing unit is used for extracting the sales data of collecting, and is converted to unified format;
First signature unit is used for sales data is carried out digital signature;
Described filtering module specifically comprises:
Data generating unit is used for according to the demand levels that arranges, and filtering out from the sales data of having extracted needs to divide the sales data that is sent to this network platform; The sales data that filtration is obtained is as mining data;
The Fuzzy Processing unit is used for mining data is carried out Fuzzy Processing;
Second signature unit is used for mining data is carried out digital signature.
Described filtering module also comprises:
Authentication ' unit is used for the digital signature of sales data is authenticated.
As seen through the above technical solutions, the beneficial effect that the present invention exists is: the present invention is by arranging demand levels for the network platform, and distribute mining data accordingly according to demand levels, thereby obtained for the perfect technical scheme of data distribution, realized that mining data distributes targetedly, satisfy the demand of heterogeneous networks platform for data, also ensured the confidentiality of partial data.
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, apparently, accompanying drawing in describing below is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the described method flow diagram of the embodiment of the invention;
Fig. 2 is the described method flow diagram of another embodiment of the present invention;
Fig. 3 is the described system configuration schematic diagram of the embodiment of the invention.
Embodiment
For the purpose, technical scheme and the advantage that make the embodiment of the invention clearer, below in conjunction with the accompanying drawing in the embodiment of the invention, technical scheme in the embodiment of the invention is clearly and completely described, obviously, 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 belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
The invention provides a kind of data distributing method, described method is applied in the above-mentioned large-scale alliance platform.In described alliance platform, many network platforms are structured under the management system.The core concept of described method is the network platform is divided into different demand levels, and distributes mining data to the network platform accordingly according to rank.Concrete with reference to shown in Figure 1, said method comprising the steps of:
Step 101, collection sales data are also extracted.
In the present embodiment, the main purpose that the network platform is obtained data under the overall situation of alliance's platform is to carry out mining analysis, in order to learn current all kinds of marketing situations, thus the required data of the network platform often with sell directly related partial data, i.e. sales data.At first from the mass data that alliance's platform contains, collect this a part of sales data in the described method, and the data extract of collecting is come out.
Collect sales data described in the present embodiment and comprise two kinds of concrete forms, be specially:
Real-time collecting sales data in the process of platform management system generation sales behavior; Or from the database of platform management system, collect sales data.
The demand levels of step 102, the default network platform according to the demand levels of the network platform, filters out the mining data of this network platform correspondence from sales data.
The heterogeneous networks platform is for the demand difference of data on the one hand; Gathered the sales data of many network platforms on the other hand in alliance's platform, wherein the sales data of quite a few need be maintained secrecy; For example, each network platform does not generally allow the detailed transaction records of self to be disclosed, thus this part sales data except this network platform itself can be obtained, alliance's platform is it should be distributed to other network platforms.So for the distribution of data, must carry out according to a suitable mechanism, thereby satisfy the demand of all-network platform under alliance's platform.
In the present embodiment, at first be the default demand levels of the network platform.In fact, under overall plan, comprise a plurality of demand levels, according to the demand difference of the network platform, can the network platform be set to different demand levels.And when demand levels is divided, further be set at the corresponding distributing data type of each demand levels.Suppose in the present embodiment, comprise two demand levels altogether, be respectively first rank and second level.For other network platform of the first order, the data that should distribute comprise Day Trading amount, this network platform of this network platform conclude the business in the industry accounting and three kinds of information of holder's dealing money scope.For the network platform of second level, the data that should distribute only are the Day Trading amount of this network platform.
Other arranges according to the demand level, and described method filters out the mining data of map network platform from the aforementioned sales data of extracting.For example at other network platform of first order A, i.e. filtration obtains Day Trading amount, industry transaction accounting and the holder's dealing money three class data of network platform A as mining data.Generally speaking, the division of demand levels is according to the difference of the network platform to the data demand, divides demand levels and can realize making the mining data that each network platform all is met to be needed.And generally speaking mining data only comprises the data that common data and this network platform self relate to; Can have good confidentiality.
Step 103, the mining data of this network platform correspondence is distributed to this network platform.
Filter according to abovementioned steps and to obtain mining data being distributed to the corresponding network platform after the mining data, carry out mining analysis for this network platform.So far, described method has realized rational filtration and the distribution for mass data under alliance's platform.
Present embodiment only is a basic embodiment of described method, the beneficial effect that present embodiment exists is: described method is by arranging demand levels for the network platform, and distribute mining data accordingly according to demand levels, thereby obtained for the perfect technical scheme of data distribution, realized that mining data distributes targetedly, satisfy the demand of heterogeneous networks platform for data, also ensured the confidentiality of partial data.
Referring to shown in Figure 2, be another specific embodiment of the method for the invention, present embodiment has been made optimization to a certain degree on basis embodiment illustrated in fig. 1, and to having made more concrete disclosing at some sport technique segments.Method may further comprise the steps described in the present embodiment:
Because the data volume that comprises in alliance's platform is very huge, so need have certain specific aim for the collection of sales data.Before collecting, often need to dispose collected sales data scope, to improve collection efficiency.
The sales data that step 202, extraction are collected, and be converted to unified format.
The process of extracting data and consolidation form is conventional data processing method, does not give unnecessary details herein.What preferred extraction obtained in the present embodiment carries out digital signature to sales data, and before filtration and distribution digital signature is verified.Process by signature and authentication signature can learn whether sales data is distorted.Present embodiment combines the sport technique segment of digital signature in overall plan, improved the fail safe of overall plan.
Above-mentioned steps 205～step 206 is for filtering the process obtain mining data, and is consistent among this process and the last embodiment.
Being sent in the mining data of certain network platform owing to be about to divide, may not be the data that only relate to this network platform itself, may relate to the part data relevant with other network platforms yet.Think the confidentiality of strengthening data, will carry out necessary Fuzzy Processing to mining data in the present embodiment.For example, certain number of transaction information is 871, then this number of transaction information can be expressed as the 500-1000 pen after the Fuzzy Processing, thereby cover concrete numerical value with digital scope, namely make things convenient for the network platform in mining analysis, data to be sorted out, improved confidentiality and fail safe again.
To the authentication that mining data is signed the network platform is further signed, prevent that mining data from being distorted in the process of network platform transmission after receiving mining data.
The described method of present embodiment is on basis embodiment illustrated in fig. 1, and further the beneficial effect that exists is: described method increases digital signature in data extract and distribution procedure, prevented that data from being distorted, and has improved the fail safe of overall plan; By in conjunction with Fuzzy Processing, namely make things convenient for the network platform in mining analysis, data to be sorted out in addition, improved confidentiality again; The overall technical architecture of method described in the present embodiment is more complete, and is open more abundant.
Referring to shown in Figure 3, be a specific embodiment of data distribution systems of the present invention, the method embodiment that system described in the present embodiment is corresponding shown in Figure 1, the two technical scheme is consistent in itself.Described system comprises following:
Extraction module is used for collecting sales data and extraction;
Diversity module is used to network platform preset need rank;
Filtering module is used for the demand levels according to the network platform, filters out the mining data of this network platform correspondence from sales data;
Distribution module is used for the mining data of this network platform correspondence is distributed to this network platform.
Present embodiment only is a basic embodiment of described system, the beneficial effect that present embodiment exists is: described system is by arranging demand levels for the network platform, and distribute mining data accordingly according to demand levels, thereby obtained for the perfect technical scheme of data distribution, realized that mining data distributes targetedly, satisfy the demand of heterogeneous networks platform for data, also ensured the confidentiality of partial data.
On the basis of above-described embodiment, described system can also be in conjunction with following prioritization scheme:
Described extraction module specifically comprises:
Collector unit is used for obtaining the required sales data of the network platform according to the configuration collection;
Processing unit is used for extracting the sales data of collecting, and is converted to unified format;
First signature unit is used for sales data is carried out digital signature;
Described filtering module specifically comprises:
Data generating unit is used for according to the demand levels that arranges, and filtering out from the sales data of having extracted needs to divide the sales data that is sent to this network platform; The sales data that filtration is obtained is as mining data;
The Fuzzy Processing unit is used for mining data is carried out Fuzzy Processing;
Second signature unit is used for mining data is carried out digital signature.
Described filtering module also comprises:
Authentication ' unit is used for the digital signature of sales data is authenticated.
The beneficial effect that can further realize by above prioritization scheme is: described system increases digital signature in data extract and distribution procedure, has prevented that data from being distorted, and has improved the fail safe of overall plan; By in conjunction with Fuzzy Processing, namely make things convenient for the network platform in mining analysis, data to be sorted out in addition, improved confidentiality again; The overall technical architecture of method described in the present embodiment is more complete, and is open more abundant.
The above only is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (11)
1. a data distributing method is characterized in that, said method comprising the steps of:
Collect sales data and extraction;
The demand levels of the default network platform according to the demand levels of the network platform, filters out the mining data of this network platform correspondence from sales data;
The mining data of this network platform correspondence is distributed to this network platform.
2. according to the described method of claim 1, it is characterized in that described collection sales data and extraction are specially:
Obtain the required sales data of the network platform according to the configuration collection;
The sales data that extraction is collected, and be converted to unified format;
Sales data is carried out digital signature.
3. according to claim 1 or 2 described methods, it is characterized in that described collection sales data is specially:
Real-time collecting sales data in the process of platform management system generation sales behavior;
Or from the database of platform management system, collect sales data.
4. according to the described method of claim 2, it is characterized in that described method also comprises:
Digital signature to sales data authenticates.
5. according to the described method of claim 1, it is characterized in that, the demand levels of the default network platform, according to the demand levels of the network platform, the mining data that filters out this network platform correspondence from sales data is specially:
In advance for the network platform arranges demand levels, and be set at the corresponding distributing data type of each demand levels;
According to the type that arranges, filtering out from the sales data of having extracted needs to divide the sales data that is sent to this network platform; The sales data that filtration is obtained is as mining data.
6. according to the described method of claim 5, it is characterized in that described method also comprises:
Before being distributed to the network platform, mining data is carried out Fuzzy Processing.
7. according to the described method of claim 5, it is characterized in that described method also comprises:
Before being distributed to the network platform, mining data is carried out digital signature.
8. a data distribution systems is characterized in that, described system specifically comprises following:
Extraction module is used for collecting sales data and extraction;
Diversity module is used to network platform preset need rank;
Filtering module is used for the demand levels according to the network platform, filters out the mining data of this network platform correspondence from sales data;
Distribution module is used for the mining data of this network platform correspondence is distributed to this network platform.
9. described system according to Claim 8 is characterized in that described extraction module specifically comprises:
Collector unit is used for obtaining the required sales data of the network platform according to the configuration collection;
Processing unit is used for extracting the sales data of collecting, and is converted to unified format;
First signature unit is used for sales data is carried out digital signature.
10. described system according to Claim 8 is characterized in that described filtering module specifically comprises:
Data generating unit is used for according to the demand levels that arranges, and filtering out from the sales data of having extracted needs to divide the sales data that is sent to this network platform; The sales data that filtration is obtained is as mining data;
The Fuzzy Processing unit is used for mining data is carried out Fuzzy Processing;
Second signature unit is used for mining data is carried out digital signature.
11., it is characterized in that described filtering module also comprises according to the described system of claim 9:
Authentication ' unit is used for the digital signature of sales data is authenticated.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020159088A1 (en) * | 2001-04-25 | 2002-10-31 | Toshiba Tec Kabushiki Kaisha | Information providing apparatus, item sales data processor, storage medium storing computer program and computer program |
| US20050050075A1 (en) * | 2003-08-29 | 2005-03-03 | Fujitsu Limited | Data classification processing apparatus, data classification processing method and storage medium |
| CN1674018A (en) * | 2004-08-13 | 2005-09-28 | 上海宝信软件股份有限公司 | Data distributing central system and data exchanging method |
| US20060195356A1 (en) * | 2005-02-25 | 2006-08-31 | Mark Nerenhausen | Entertainment venue data analysis system and method |
| CN101178792A (en) * | 2007-11-30 | 2008-05-14 | 中国移动通信集团福建有限公司 | Terminal sale management system device |
| CN101556605A (en) * | 2009-05-13 | 2009-10-14 | 用友软件股份有限公司 | Free penetrating method of report data based on two-dimensional query model and system thereof |
| CN101969475A (en) * | 2010-11-15 | 2011-02-09 | 张军 | Business data controllable distribution and fusion application system based on cloud computing |
| CN102081656A (en) * | 2011-01-12 | 2011-06-01 | 江苏梦兰神彩科技发展有限公司 | Data acquisition and distribution system of cross-platform heterogeneous database |
| CN202050436U (en) * | 2011-02-21 | 2011-11-23 | 兰雨晴 | Data security manager for medium-sized and small enterprises |
| CN103049685A (en) * | 2013-01-23 | 2013-04-17 | 天津三星光电子有限公司 | User multi-code management system and method |
-
2013
- 2013-06-14 CN CN201310237002.8A patent/CN103327090B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020159088A1 (en) * | 2001-04-25 | 2002-10-31 | Toshiba Tec Kabushiki Kaisha | Information providing apparatus, item sales data processor, storage medium storing computer program and computer program |
| US20050050075A1 (en) * | 2003-08-29 | 2005-03-03 | Fujitsu Limited | Data classification processing apparatus, data classification processing method and storage medium |
| CN1674018A (en) * | 2004-08-13 | 2005-09-28 | 上海宝信软件股份有限公司 | Data distributing central system and data exchanging method |
| US20060195356A1 (en) * | 2005-02-25 | 2006-08-31 | Mark Nerenhausen | Entertainment venue data analysis system and method |
| CN101178792A (en) * | 2007-11-30 | 2008-05-14 | 中国移动通信集团福建有限公司 | Terminal sale management system device |
| CN101556605A (en) * | 2009-05-13 | 2009-10-14 | 用友软件股份有限公司 | Free penetrating method of report data based on two-dimensional query model and system thereof |
| CN101969475A (en) * | 2010-11-15 | 2011-02-09 | 张军 | Business data controllable distribution and fusion application system based on cloud computing |
| CN102081656A (en) * | 2011-01-12 | 2011-06-01 | 江苏梦兰神彩科技发展有限公司 | Data acquisition and distribution system of cross-platform heterogeneous database |
| CN202050436U (en) * | 2011-02-21 | 2011-11-23 | 兰雨晴 | Data security manager for medium-sized and small enterprises |
| CN103049685A (en) * | 2013-01-23 | 2013-04-17 | 天津三星光电子有限公司 | User multi-code management system and method |
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