CN105574014A - Commercial district division method and system - Google Patents
Commercial district division method and system Download PDFInfo
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- CN105574014A CN105574014A CN201410539300.7A CN201410539300A CN105574014A CN 105574014 A CN105574014 A CN 105574014A CN 201410539300 A CN201410539300 A CN 201410539300A CN 105574014 A CN105574014 A CN 105574014A
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Abstract
The invention provides a commercial district division method and system. The method comprises the following steps: obtaining the data information of each store in a preset range; according to the obtained data information of each store, dividing all stores in the preset range into a plurality of sub commercial districts; combining the adjacent sub commercial districts layer by layer in the plurality of sub commercial districts obtained by division to obtain a plurality of final commercial districts, and recording the sub commercial districts contained in each commercial district; and carrying out statistics on trade information of each commercial district in different business scopes, and generating the description information of each commercial district according to the trade information of the commercial district. The commercial district division method dynamically divides the commercial district in real time on the basis of objective data, can automatically generate the layered structure and the description information of the commercial district, and objectively reflects the development tendency of the commercial district. In addition, the division method has the advantages of short period and low personnel cost.
Description
Technical field
The present invention relates to market area partition technical field, particularly relate to a kind of market area partition method and system.
Background technology
Commercial circle is the sphere of influence of commercial enterprise's start business, stresses to express the spatial dimension that commercial circle is commercial enterprise management activity, is equal to the concept in commercial concentration district.The marketing activity scope in shop has certain Geographic boundary usually, also namely has metastable commercial circle.Different shops is owing to managing the difference of the aspects such as commodity, traffic factor, geographic position, scale of operation, and its commercial circle scale, commercial circle form exist very big difference.Even same shop, also because of the impact of Different factor, and the change of commercial circle can be caused at different time, such as there is competition in former commercial circle, attracted a part of client, little time large during the scale of commercial circle, commercial circle morphologic appearance is various irregular polygons.
In existing actual operation process, delimit commercial circle mainly through two kinds of methods, one is reference entry, and the commercial circle scale namely with reference to a certain similar market or regional existing shop is determined.This method in use in order to as much as possible close to the actual conditions of this location, shop, can according to reference market or the difference of regional shop on scale of operation, operation character, and the difference of the aspect such as resident's population distribution, urban construction, means of transportation situation, business typology, the correction carried out, to obtain the saturation index of commercial circle retail comparatively accurately numerical value; Another kind is investigation method; Namely by the method for the investigation that fills in questionnaires, to be held in the scope of determined commercial circle farthest and also the information of being ready the consumer that presumptive address is done shopping, to determine commercial circle.The content of survey should comprise: address, carry out the information such as shop frequency.Questionnaire according to regaining is added up, and address setting-out on map of collected consumer is farthest coupled together, and commercial circle scope has just shown naturally.It should be noted that a same shop, can be subject to being permitted multifactorial interference and impact period in different operation, cause commercial circle scope to produce many changes, so want often to investigate to adjust management strategy to commercial circle.
These two kinds of division methods, too rely on the subjective judgement of people, can not reflect development and the dynamic structure of commercial circle in time dynamically.
Summary of the invention
In order to overcome the deficiencies in the prior art, the invention provides a kind of market area partition method and system, objectively can divide commercial circle, obtaining the hierarchical structure of commercial circle accurately.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme:
According to one aspect of the present invention, provide a kind of market area partition method, the method comprises: the data message obtaining preset range and time Nei Ge retail shop; According to the data message of each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle; In the multiple sub-commercial circle that division obtains, successively merge adjacent sub-commercial circle, obtain final multiple commercial circles, and record sub-commercial circle included in each commercial circle; Add up the Transaction Information of each commercial circle in different range of business, and generate the descriptor of each commercial circle according to the Transaction Information of commercial circle.
Alternatively, the data message of this retail shop comprises: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time.
Alternatively, before preset range Nei Ge retail shop is divided at least one Ge Zi retail shop, the method also comprises: filter retail shop's data message, retain effective retail shop in each retail shop in preset range.
Further, filter retail shop's data message, retain effective retail shop in each retail shop in preset range, specifically comprise: obtain Transaction Information in the given time in each retail shop; Transaction Information is sorted; According to ranking results, the retail shop that reservation Transaction Information meets the demands is as effective retail shop.
Alternatively, according to the data message of each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle, comprises: preset range Nei Ge retail shop is classified as Core shops, peripheral retail shop and scattered retail shop respectively by the requirement preset; Calculate the distance between any two Core shops; The distance retail shop be less than in preset range between any two Core shops is attributed to same sub-commercial circle.
Alternatively, preset range Nei Ge retail shop classifies as Core shops, peripheral retail shop and scattered retail shop respectively by the requirement preset, and specifically comprises: add up the retail shop number of any retail shop in predetermined radiation scope; If the retail shop number of any retail shop in predetermined radiation scope counted is greater than predetermined retail shop number, then any retail shop is classified as Core shops; If the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and there is a Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as peripheral retail shop; If the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and there is no Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as scattered retail shop.
Alternatively, according to the data message of each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle, also comprises: peripheral retail shop is assigned to each sub-commercial circle nearby.
Alternatively, successively merge adjacent sub-commercial circle, obtain final multiple commercial circles, specifically comprise: calculate the adjacency between two sub-commercial circles in preset range; Choose two the most contiguous sub-commercial circles to merge, obtain a new sub-commercial circle; Calculate the adjacency between new sub-commercial circle and other sub-commercial circles in preset range, and close on most two sub-commercial circles are merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value.
Alternatively, calculate the adjacency between two sub-commercial circles in preset range, specifically comprise: pass through formula
Calculate the adjacency between two sub-commercial circles in preset range, wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
Alternatively, add up the Transaction Information of each commercial circle in different range of business, and the descriptor of each commercial circle is generated according to the Transaction Information of commercial circle, specifically comprise: add up the Transaction Information of each commercial circle in different range of business, the Transaction Information of range of business in commercial circle is sorted; For the range of business that Transaction Information ranks the first, for the label of range of business is added in this commercial circle.
According to another aspect of the present invention, additionally provide a kind of market area partition system, comprising: acquisition module, for obtaining the data message of preset range and time Nei Ge retail shop; Divide module, for the data message according to each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle; Merging module, for successively merging adjacent sub-commercial circle dividing in the multiple sub-commercial circle that obtains, obtaining sub-commercial circle included in final multiple commercial circles; Describing module, for adding up the Transaction Information of each commercial circle in different range of business, and generates the descriptor of each commercial circle according to the Transaction Information of commercial circle.
Alternatively, the data message of retail shop comprises: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time.
Alternatively, system, before preset range Nei Ge retail shop is divided into multiple sub-commercial circle, also comprises: filtering module, for filtering retail shop's data message, retains effective retail shop in each retail shop in preset range.
Further, this filtering module specifically comprises: the first acquiring unit, for obtaining in each retail shop Transaction Information in the given time; First sequencing unit, for sorting to Transaction Information; Stick unit, for according to ranking results, retains retail shop that Transaction Information meets the demands as effective retail shop.
Alternatively, divide module and comprise: the first classifying module, for preset range Nei Ge retail shop is classified as Core shops, peripheral retail shop and scattered retail shop respectively by the requirement preset; First computing unit, for calculating the distance between any two Core shops; Second classifying module, for being attributed to same sub-commercial circle by the distance retail shop be less than in preset range between any two Core shops.
Further, the first classifying module specifically comprises: statistic unit, for adding up the retail shop number of any retail shop in predetermined radiation scope; First sorts out unit, if be greater than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, then any retail shop is classified as Core shops; Second sorts out unit, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and has a Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as peripheral retail shop; 3rd sorts out unit, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and does not have Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as scattered retail shop.
Further, divide module and also comprise: assignment unit, for peripheral retail shop is assigned to each sub-commercial circle nearby.
Further, merge module and specifically comprise: the second computing unit, for calculating the adjacency in preset range between two sub-commercial circles; First merge cells, merges for choosing two the most contiguous sub-commercial circles, obtains a new sub-commercial circle; Close on most two sub-commercial circles for calculating the adjacency between sub-commercial circle new in preset range and other sub-commercial circles, and are merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value by the second merge cells.
Further, the second computing unit is by formula
Calculate the adjacency between two sub-commercial circles in preset range, wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
Further, describing module specifically comprises: the second sequencing unit, for adding up the Transaction Information of each commercial circle in different range of business, is sorted by the Transaction Information of range of business in commercial circle; Information description unit, for the range of business ranked the first for Transaction Information, for the label of range of business is added in this commercial circle.
Beneficial effect of the present invention: based on objective data, carries out dynamic in real time division to commercial circle, automatically can produce hierarchy and the descriptor of commercial circle, objectively reflect the development trend of commercial circle; And this division methods, performance period is short, and personnel cost is low, solves existing division methods and too relies on the subjective judgement with people, can not react the development trend of commercial circle and the problem of dynamic structure in time dynamically.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the market area partition method of the embodiment of the present invention;
Fig. 2 is the data message according to each retail shop obtained of the embodiment of the present invention, preset range Nei Ge retail shop is divided into the process flow diagram of multiple sub-commercial circle;
Fig. 3 is process flow diagram preset range Nei Ge retail shop sorted out respectively by the requirement preset of the embodiment of the present invention;
Fig. 4 is the process flow diagram of the adjacent sub-commercial circle of the merging of the embodiment of the present invention;
Fig. 5 is the concrete schematic diagram of the adjacent sub-commercial circle of the merging of the embodiment of the present invention;
Fig. 6 is the process flow diagram of the filtration commercial circle of the embodiment of the present invention;
Fig. 7 is the structural representation of the market area partition method, system of the embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
Embodiment one
As shown in Figure 1, be the process flow diagram of the market area partition method of the embodiment of the present invention, the method comprises the steps:
Step 101, obtains the data message of preset range and time Nei Ge retail shop;
Particularly, this scope preset can be limited to certain district in certain city, and this Preset Time can be limited to half a year or 1 year.
Particularly, the data message of this retail shop can comprise: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time, wherein the address information of retail shop, the range of business of retail shop are by common Map Services, as acquisitions such as Baidu's map, Google Maps; This Transaction Information can comprise trading volume and turnover, and this turnover and trading volume can use reptile to crawl purchasing by group class website, is estimated by the quantity of its comment, reply, recommendation; In addition, above-mentioned data message also can by cooperating with the finance such as bank, the tax, government organs and obtain.
Step 102, according to the data message of each retail shop obtained, is divided into multiple sub-commercial circle by preset range Nei Ge retail shop;
Step 103, successively merges adjacent sub-commercial circle, obtains final multiple commercial circles, and record sub-commercial circle included in each commercial circle in the multiple sub-commercial circle that division obtains;
Step 104, adds up the Transaction Information of each commercial circle in different range of business, and generates the descriptor of each commercial circle according to the Transaction Information of commercial circle.
Particularly, add up the Transaction Information of each commercial circle in different range of business, the Transaction Information of range of business in commercial circle is sorted; For the range of business that Transaction Information ranks the first, for the label of range of business is added in this commercial circle.
That is, such as in the final a certain commercial circle (People's Square commercial circle) formed, if the turnover of the finance in this commercial circle and food and drink is all positioned at first of this commercial circle, then for the label of " finance ", " food and drink " is added in this commercial circle; If finance is positioned at first of this commercial circle, then for the label of " finance " is added in this commercial circle.
In an embodiment of the present invention, based on objective data, dynamic in real time division is carried out to commercial circle, automatically can produce hierarchy and the descriptor of commercial circle, objectively reflect the development trend of commercial circle; And this division methods, performance period is short, and personnel cost is low, solves existing division methods and too relies on the subjective judgement with people, can not react the development trend of commercial circle and the problem of dynamic structure in time dynamically.
In the present embodiment, preset range Nei Ge retail shop, according to the data message of each retail shop obtained, is divided into the realization of multiple sub-commercial circle, specifically see Fig. 2, comprises by this:
Step 201, classifies as Core shops, peripheral retail shop and scattered retail shop by preset range Nei Ge retail shop respectively by the requirement preset;
Step 202, calculates the distance between any two Core shops;
Step 203, is attributed to same sub-commercial circle by the distance retail shop be less than in preset range between any two Core shops.
Particularly, this preset range 100 meters, if the distance namely between two Core shops is less than 100 meters, then this Liang Ge retail shop is attributed to same sub-commercial circle.
Further, preset range Nei Ge retail shop is classified as the realization of Core shops, peripheral retail shop and scattered retail shop by respectively by the requirement preset, specifically see Fig. 3, comprising:
Step 301, adds up the retail shop number of any retail shop in predetermined radiation scope;
Wherein, this statistics realizes by density-based algorithms, can parameters be: radius (i.e. predetermined radiation scope) 100 meters, minimum retail shop number is 200.
Step 302, adds up the retail shop number of any retail shop in predetermined radiation scope;
Namely, for certain retail shop X, in its radius 100 meters, if be not less than 200 retail shops, then it is Core shops.
Step 303, if the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and has a Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as peripheral retail shop;
Namely, for certain retail shop X, in its radius 100 meters, if retail shop's number is lower than 200, but wherein have certain Core shops Y, then retail shop X is peripheral retail shop.
Step 304, if the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and does not have Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as scattered retail shop.
Namely, for certain retail shop X, in its radius 100 meters, if retail shop's number is lower than 200, and do not have certain Core shops Y in radius 100 meters, then retail shop X is scattered retail shop.
Further, final sub-commercial circle is made up of Core shops and peripheral retail shop, and scattered retail shop is considered as noise, does not belong to any one sub-commercial circle, needs scattered retail shop to filter out.
In the above-described embodiments, successively merge adjacent sub-commercial circle in the multiple sub-commercial circle that should obtain in division, obtain final multiple commercial circles, and record sub-commercial circle included in each commercial circle specifically see Fig. 4, comprising:
Step 401, calculates the adjacency between two sub-commercial circles in preset range;
The calculating of this adjacency is by formula:
Calculate, wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
Step 402, chooses two the most contiguous sub-commercial circles and merges, and obtains a new sub-commercial circle;
Step 403, calculates the adjacency between new sub-commercial circle and other sub-commercial circles in preset range, and close on most two sub-commercial circles is merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value.
Below in conjunction with Fig. 5, the step of above-mentioned merging is further expalined, as shown in Figure 5, wherein a ~ e represents different sub-commercial circles: in merging process, choose two the most contiguous sub-commercial circles to merge at every turn, thus obtain a new sub-commercial circle, until be only left K commercial circle, K is preassigned final commercial circle quantity; And in the process merged, record each combining step, the hierarchy of commercial circle can be obtained.
Further, before preset range Nei Ge retail shop is divided at least one Ge Zi retail shop, the method also comprises: filter retail shop's data message, retain effective retail shop in each retail shop in preset range.
Particularly, the step of this filtration, see Fig. 6, specifically comprises:
Step 601, obtains Transaction Information in the given time in each retail shop;
Step 602, sorts to Transaction Information;
Wherein, this sequence can be ascending order to turnover or descending sort.
Step 603, according to ranking results, the retail shop that reservation Transaction Information meets the demands is as effective retail shop.
Wherein, can according to actual conditions, retain 50% forward retail shop of turnover or 30% retail shop as effective retail shop.
Embodiment two
Corresponding to the method for the market area partition in above-described embodiment one, present invention also offers a kind of system of market area partition, as shown in Figure 7, this system 70 comprises:
Acquisition module 71, for obtaining the data message of preset range and time Nei Ge retail shop;
Particularly, this scope preset can be limited to certain district in certain city, and this Preset Time can be limited to half a year or 1 year;
Particularly, the data message of this retail shop can comprise: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time, wherein the address information of retail shop, the range of business of retail shop are by common Map Services, as acquisitions such as Baidu's map, Google Maps; This Transaction Information can comprise trading volume and turnover, and this turnover and trading volume can use reptile to crawl purchasing by group class website, is estimated by the quantity of its comment, reply, recommendation; In addition, above-mentioned data message also can by cooperating with the finance such as bank, the tax, government organs and obtain.
Divide module 72, for the data message according to each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle;
Merging module 73, for successively merging adjacent sub-commercial circle dividing in the multiple sub-commercial circle that obtains, obtaining sub-commercial circle included in final multiple commercial circles;
Describing module 74, for adding up the Transaction Information of each commercial circle in different range of business, and generates the descriptor of each commercial circle according to the Transaction Information of commercial circle.
This system, before preset range Nei Ge retail shop is divided into multiple sub-commercial circle, also comprises:
Filtering module 75, for filtering retail shop's data message, retains effective retail shop in each retail shop in preset range.
Further, this filtering module 75 specifically comprises:
First acquiring unit 751, for obtaining in each retail shop Transaction Information in the given time;
First sequencing unit 752, for sorting to Transaction Information;
Stick unit 753, for according to ranking results, retains retail shop that Transaction Information meets the demands as effective retail shop.
Further, divide module 72 to comprise:
First classifying module 721, for classifying as Core shops, peripheral retail shop and scattered retail shop by preset range Nei Ge retail shop respectively by the requirement preset;
First computing unit 722, for calculating the distance between any two Core shops;
Second classifying module 723, for being attributed to same sub-commercial circle by the distance retail shop be less than in preset range between any two Core shops.
Further, the first classifying module 721 specifically comprises:
Statistic unit 7211, for adding up the retail shop number of any retail shop in predetermined radiation scope;
First sorts out unit 7212, if be greater than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, then any retail shop is classified as Core shops;
Second sorts out unit 7213, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and has a Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as peripheral retail shop;
3rd sorts out unit 7214, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and does not have Core shops in retail shop in predetermined radiation scope, then any retail shop is classified as scattered retail shop.
Further, divide module 72 and also comprise: assignment unit, for peripheral retail shop is assigned to each sub-commercial circle nearby.
Further, merge module 73 specifically to comprise:
Second computing unit 731, for calculating the adjacency in preset range between two sub-commercial circles;
Further, the calculating of this adjacency is by formula
calculate, wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
First merge cells 732, merges for choosing two the most contiguous sub-commercial circles, obtains a new sub-commercial circle;
Close on most two sub-commercial circles for calculating the adjacency between sub-commercial circle new in preset range and other sub-commercial circles, and are merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value by the second merge cells 733.
Further, describing module 74 specifically comprises:
Second sequencing unit 741, for adding up the Transaction Information of each commercial circle in different range of business, sorts the Transaction Information of range of business in commercial circle;
Information description unit 742, for the range of business ranked the first for Transaction Information, for the label of range of business is added in this commercial circle.
That is, such as in the final a certain commercial circle (People's Square commercial circle) formed, if the turnover of the finance in this commercial circle and food and drink is all positioned at first of this commercial circle, then for the label of " finance ", " food and drink " is added in this commercial circle; If finance is positioned at first of this commercial circle, then for the label of " finance " is added in this commercial circle.
In an embodiment of the present invention, based on objective data, dynamic in real time division is carried out to commercial circle, automatically can produce hierarchy and the descriptor of commercial circle, objectively reflect the development trend of commercial circle; And this division methods, performance period is short, and personnel cost is low, solves existing division methods and too relies on the subjective judgement with people, can not react the development trend of commercial circle and the problem of dynamic structure in time dynamically.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (20)
1. a market area partition method, is characterized in that, comprising:
Obtain the data message of preset range and time Nei Ge retail shop;
According to the data message of each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle;
In the multiple sub-commercial circle that division obtains, successively merge adjacent sub-commercial circle, obtain final multiple commercial circles, and record sub-commercial circle included in each commercial circle;
Add up the Transaction Information of each commercial circle in different range of business, and generate the descriptor of each commercial circle according to the Transaction Information of commercial circle.
2. method according to claim 1, is characterized in that, the data message of described retail shop comprises: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time.
3. method according to claim 1 and 2, is characterized in that, described preset range Nei Ge retail shop is divided at least one Ge Zi retail shop before, described method also comprises:
Filter described retail shop data message, in each retail shop in preset range, retain effective retail shop.
4. method according to claim 3, is characterized in that, described filtration described retail shop data message, retains effective retail shop in each retail shop in preset range, specifically comprise:
Obtain Transaction Information in the given time in each retail shop;
Described Transaction Information is sorted;
According to described ranking results, the retail shop that reservation Transaction Information meets the demands is as effective retail shop.
5. method according to claim 1, is characterized in that, the data message of described each retail shop according to obtaining, is divided into multiple sub-commercial circle by preset range Nei Ge retail shop, comprises:
Preset range Nei Ge retail shop is classified as Core shops, peripheral retail shop and scattered retail shop respectively by the requirement preset;
Calculate the distance between any two described Core shops;
The distance retail shop be less than in preset range between any two described Core shops is attributed to same sub-commercial circle.
6. method according to claim 5, is characterized in that, described preset range Nei Ge retail shop classifies as Core shops, peripheral retail shop and scattered retail shop respectively by the requirement preset, and specifically comprises:
Add up the retail shop number of any retail shop in predetermined radiation scope;
If the retail shop number of any retail shop in predetermined radiation scope counted is greater than predetermined retail shop number, then described any retail shop is classified as Core shops;
If the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and there is a Core shops in retail shop in described predetermined radiation scope, then described any retail shop is classified as peripheral retail shop;
If the retail shop number of any retail shop in predetermined radiation scope counted is less than predetermined retail shop number, and there is no Core shops in retail shop in described predetermined radiation scope, then described any retail shop is classified as scattered retail shop.
7. method according to claim 6, is characterized in that, the data message of described each retail shop according to obtaining, is divided into multiple sub-commercial circle by preset range Nei Ge retail shop, also comprises:
Described peripheral retail shop is assigned to each sub-commercial circle nearby.
8. method according to claim 1, is characterized in that, successively merges adjacent sub-commercial circle, obtains final multiple commercial circles, specifically comprises:
Calculate the adjacency between two sub-commercial circles in preset range;
Choose two the most contiguous sub-commercial circles to merge, obtain a new sub-commercial circle;
Calculate the adjacency between new sub-commercial circle and other sub-commercial circles in preset range, and close on most two sub-commercial circles are merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value.
9. method according to claim 8, is characterized in that, the adjacency in described calculating preset range between two sub-commercial circles, specifically comprises:
Pass through formula
Calculate the adjacency between two sub-commercial circles in described preset range,
Wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
10. method according to claim 1, is characterized in that, the Transaction Information of each commercial circle of described statistics in different range of business, and generates the descriptor of each commercial circle according to the Transaction Information of commercial circle, specifically comprises:
Add up the Transaction Information of each commercial circle in different range of business, the Transaction Information of range of business described in described commercial circle is sorted;
For the range of business that Transaction Information ranks the first, for the label of described range of business is added in this commercial circle.
11. 1 kinds of market area partition systems, is characterized in that, comprising:
Acquisition module, for obtaining the data message of preset range and time Nei Ge retail shop;
Divide module, for the data message according to each retail shop obtained, preset range Nei Ge retail shop is divided into multiple sub-commercial circle;
Merging module, for successively merging adjacent sub-commercial circle dividing in the multiple sub-commercial circle that obtains, obtaining sub-commercial circle included in final multiple commercial circles;
Describing module, for adding up the Transaction Information of each commercial circle in different range of business, and generates the descriptor of each commercial circle according to the Transaction Information of commercial circle.
12. systems according to claim 11, is characterized in that, the data message of described retail shop comprises: the address information of retail shop, the range of business of retail shop and the Transaction Information of retail shop in the schedule time.
13. systems according to claim 11 or 12, it is characterized in that, described system, before preset range Nei Ge retail shop is divided into multiple sub-commercial circle, also comprises:
Filtering module, for filtering described retail shop data message, retains effective retail shop in each retail shop in preset range.
14. systems according to claim 13, is characterized in that, described filtering module specifically comprises:
First acquiring unit, for obtaining in each retail shop Transaction Information in the given time;
First sequencing unit, for sorting to described Transaction Information;
Stick unit, for according to described ranking results, retains retail shop that Transaction Information meets the demands as effective retail shop.
15. systems according to claim 11, is characterized in that, described division module comprises:
First classifying module, for classifying as Core shops, peripheral retail shop and scattered retail shop by preset range Nei Ge retail shop respectively by the requirement preset;
First computing unit, for calculating the distance between any two described Core shops;
Second classifying module, for being attributed to same sub-commercial circle by the distance retail shop be less than in preset range between any two described Core shops.
16. methods according to claim 15, is characterized in that, described first classifying module specifically comprises:
Statistic unit, for adding up the retail shop number of any retail shop in predetermined radiation scope;
First sorts out unit, if be greater than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, then described any retail shop is classified as Core shops;
Second sorts out unit, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and has a Core shops in retail shop in described predetermined radiation scope, then described any retail shop is classified as peripheral retail shop;
3rd sorts out unit, if be less than predetermined retail shop number for retail shop's number of any retail shop in predetermined radiation scope counted, and does not have Core shops in retail shop in described predetermined radiation scope, then described any retail shop is classified as scattered retail shop.
17. systems according to claim 16, is characterized in that, described division module also comprises:
Assignment unit, for being assigned to each sub-commercial circle nearby by described peripheral retail shop.
18. systems according to claim 11, is characterized in that, described merging module specifically comprises:
Second computing unit, for calculating the adjacency in preset range between two sub-commercial circles;
First merge cells, merges for choosing two the most contiguous sub-commercial circles, obtains a new sub-commercial circle;
Close on most two sub-commercial circles for calculating the adjacency between sub-commercial circle new in preset range and other sub-commercial circles, and are merged into a new sub-commercial circle, until the quantity of sub-commercial circle reaches default quantitative value by the second merge cells.
19. systems according to claim 18, is characterized in that, described second computing unit specifically comprises:
Pass through formula
Calculate the adjacency between two sub-commercial circles in described preset range,
Wherein Ci, Cj represent different sub-commercial circles, and p, q are respectively Ci, any one retail shop in Cj, respectively from commercial circle i, select a retail shop in the j of commercial circle, composition retail shop pair, and its weights are distance; The right set of all retail shops can be described as retail shop to set, and the minimum weights in this set become strand distance, represent the minimum distance between retail shop in two sub-commercial circles.
20. systems according to claim 10, is characterized in that, described describing module specifically comprises:
Second sequencing unit, for adding up the Transaction Information of each commercial circle in different range of business, sorts the Transaction Information of range of business described in described commercial circle;
Information description unit, for the range of business ranked the first for Transaction Information, for the label of described range of business is added in this commercial circle.
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