CN108282447A - A kind of market price quotation analysis method and system - Google Patents
A kind of market price quotation analysis method and system Download PDFInfo
- Publication number
- CN108282447A CN108282447A CN201710011172.2A CN201710011172A CN108282447A CN 108282447 A CN108282447 A CN 108282447A CN 201710011172 A CN201710011172 A CN 201710011172A CN 108282447 A CN108282447 A CN 108282447A
- Authority
- CN
- China
- Prior art keywords
- data
- standard value
- storage unit
- market price
- computing unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 32
- 238000013480 data collection Methods 0.000 claims abstract description 18
- 238000012423 maintenance Methods 0.000 abstract description 9
- 238000004364 calculation method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 10
- 238000000034 method Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 3
- 238000007418 data mining Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
- G06F7/40—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using contact-making devices, e.g. electromagnetic relay
- G06F7/42—Adding; Subtracting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Databases & Information Systems (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Electromagnetism (AREA)
- Computer Hardware Design (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of market price quotation analysis method and system, and the system comprises data collection stations, further include inner server, and the inner server includes computing unit and storage unit；The data collection station sends the data to the computing unit for acquiring market price data in real time；The computing unit is used for the number according to the data and the standard value and data extracted in the storage unit received, it carries out asking standard value operation, and the number of the number for the data extracted in the storage unit and the data received is subjected to add operation；The storage unit is for storing the number that the computing unit seeks the new data obtained after the new standard value and add operation obtained after standard value operation.System using the present invention can not only be analyzed quickly due to the quick access features of memory and greatly simplifying for calculation and obtain Real-time markets quotation information, and system creation and maintenance cost is greatly reduced.
Description
Technical field
This application involves market price quotation analysis fields, and in particular to a kind of market price quotation analysis method and is
System.
Background technology
There are thousands of a whole sellers in wholesale market under one line, there is thousands of or even up to ten thousand kinds of commodity, the quotient in daily transaction
The price of product always is that variation, market side and wholesale commercial city are highly desirable to obtain current wholesale market commodity price market
Information.And current quotation information is mainly derived from a kind of data mining analysis technology：Data are first saved in database, then
It is extracted and operation at midnight, provides quotation analysis conclusion within second day.Its major defect is：First, the quotation analysis time prolongs
Afterwards, it is unable to get real time data.Secondly, need to extract mass data, operand is very big, to the performance configuration of server require compared with
It is high.Again：It is limited by database server storage performance, a database server can only arrange more than 200 a collection points of acquisition
Price data, if necessary to expand then need that server is continuously replenished, cost is larger.
Therefore, for wholesale market, exploitation one, which can not only be analyzed quickly, obtains Real-time markets quotation information, but also
The quotation analysis system that establishment and maintenance cost can be reduced as possible, at this field letter technical problem to be solved.
Invention content
The application is directed to a kind of market price quotation analysis method and system, can not only quickly analyze and obtain in real time
Market forming, and system creation and maintenance cost is greatly reduced.
According to the one side of the application, market price quotation analysis system, including data collection station are provided, is also wrapped
Inner server is included, the inner server includes computing unit and storage unit；
The data collection station sends the data to the computing unit for acquiring market price data in real time；
The computing unit is used for according to the data received and the standard value and data extracted in the storage unit
Number, ask standard value operation, and by the number for the data extracted in the storage unit and the data received
Number carries out add operation；
The storage unit seeks the new standard value and addition obtained after standard value operation for storing the computing unit
The number of the new data obtained after operation.
Further, the system also includes summarizing server, the standard value for being stored according to multiple inner servers
With the number of data, carries out asking standard value operation, obtain final standard value.
Further, the system also includes encrypting module and Remote Switched Port Analyzer backup modules；The encrypting module is used for will
Data in inner server carry out dynamic encryption；The Remote Switched Port Analyzer backup module is for backuping to encrypted data not
In another or multiple inner servers with area.
Further, the system also includes a remote database servers, and being used for periodically will be in the inner server
Remote data backup in the hard disk of the database server.
According to the another aspect of the application, a kind of market price quotation analysis method is provided, including：
Acquisition market price data in real time；
According to the number of collected data and the standard value and data extracted in storage unit, carry out that standard value is asked to transport
It calculates.
Further, according to collected data and the standard value extracted in storage unit and data
After the step of counting, carrying out asking standard value operation, further include：
The number of the number for the data extracted in the storage unit and the data received is subjected to add operation；
The number of the new data obtained after the new standard value and add operation obtained after standard value operation is sought in storage.
System using the present invention can not only due to the quick access features of memory and greatly simplifying for calculation
Quickly analysis obtains Real-time markets quotation information, and system creation and maintenance cost is greatly reduced.
Description of the drawings
Fig. 1 is the schematic block diagram of the application market price quotation analysis system embodiment one；
Fig. 2 is the schematic block diagram of the application market price quotation analysis system embodiment two；
Fig. 3 is the schematic block diagram of the application market price quotation analysis system embodiment three；
Fig. 4 is the flow diagram of the application market price quotation analysis embodiment of the method one；
Fig. 5 is the flow diagram of the application market price quotation analysis embodiment of the method two.
Specific implementation mode
The technical solution of the application is described with reference to the illustrative embodiments of the application below in conjunction with the accompanying drawings.
Fig. 1 is the schematic block diagram of the application market price quotation analysis system embodiment one.As shown in Figure 1, this
The market price quotation analysis system of embodiment includes：Data collection station 11 and inner server 12.Wherein, the memory clothes
Business device 12 includes computing unit 121 and storage unit 122.The computing unit 121 and the data collection station 11 described are deposited
Storage unit 122 is respectively connected with.
The data collection station 11 sends the data to the computing unit for acquiring market price data in real time
121。
Specifically, the data collection station is distributed in the cash register system end in each shop, its vending articles is acquired in real time
Price data.
The inner server 12 is different from past database server, and the read or write speed of inner server is very fast,
It is more than ten times or more of the latter.
The computing unit 121 is used for according to the data received and the standard value extracted in the storage unit 122
And the number of data, ask standard value operation, and by the number for the data extracted in the storage unit 122 with receive
Data number carry out add operation.
Specifically, the standard value is a kind of price calculated by complicated formulas according to existing price data in the industry
Market impact factor, for convenience of understanding, in following example using standard value as standard value for, be exemplified below：
It is a number 6 that example 1, the data collection station 11, which collect data, and is sent to the computing unit 121；
The computing unit receives the data, meanwhile, the standard value that the computing unit is extracted from the storage unit 122 is
2.4, the number of data is 5；In the present system, the storage unit only need store two numbers, a standard value 2.4, one
The number 5 of a data, without all storing away 5 data；What then the computing unit 121 carried out asks standard value to transport
It is (2.4*5+6)/(5+1)=3 to calculate, that is, it is 3 to seek the new standard value obtained after standard value operation, will be in the storage unit
It is 5+1=6, i.e., of new data that the number of the number of 122 data extracted and the data received, which carries out add operation,
Number is 6.
The storage unit 122 seeks the new standard value obtained after standard value operation for storing the computing unit 121
With the number of the new data obtained after add operation, according to above-mentioned example 1, i.e., new standard value is 3, and the number of new data is
6.In the present system, the storage unit only need store two numbers, a standard value 3, the number 6 of a data, without
It needs all to store away 6 data.
It is an array that example 2, the data collection station 11, which collect data,【9,8,4】, and it is single to be sent to the calculating
Member 121；The computing unit receives the array, meanwhile, the standard that the computing unit is extracted from the storage unit 122
Value is 7, and the number of data is 6；In the present system, the storage unit only need store two numbers, a standard value 7, one
The number 6 of a data, without all storing away 6 data；What then the computing unit 121 carried out asks standard value to transport
It is (7*6+9+8+4)/(6+3)=7 to calculate, that is, it is 7 to seek the new standard value obtained after standard value operation, will be in the storage unit
It is 6+3=9, i.e., of new data that the number of the number of 122 data extracted and the data received, which carries out add operation,
Number is 9.
The storage unit 122 seeks the new standard value obtained after standard value operation for storing the computing unit 121
With the number of the new data obtained after add operation, according to above-mentioned example 1, i.e., new standard value is 7, and the number of new data is
9.In the present system, the storage unit only need store two numbers, a standard value 7, the number 9 of a data, without
It needs all to store away 9 data.
The present invention can be converted to a mark for facilitating calculate next time after receiving a gathered data according to data sectional
Quasi- value, in this way after next gathered data is come, so that it may which, to continue to calculate on the basis of last computation, this considerably reduce clothes
The calculating pressure of business device, the real time algorithm that system according to the invention carries out, market operation basically reaches real-time bottom, from receipts
It can be controlled within 10 substations to gathered data to operation completion.
It, can from above-described embodiment as can be seen that using standard value and the only algorithm of the number of storage standard value and data is asked
To save a large amount of memory space, system creation and maintenance cost are saved, also, simple, time-consuming few due to calculating step every time,
It can quickly analyze and obtain Real-time markets quotation information.
Fig. 2 is the schematic block diagram of the application market price quotation analysis system embodiment two.As shown in Fig. 2, this
The market price quotation analysis system of embodiment includes：Data collection station 21, inner server 22 and summarizes server 23.
Wherein, each data collection station 21 is connected with each inner server 22, described to summarize server 23 and own
Inner server 22 be connected.
Specifically, the data collection station 21, inner server 22 are identical as embodiment shown in FIG. 1, this implementation
It is repeated no more in example.The description of the present embodiment emphasis summarizes server 23.Summarize server for according to multiple inner servers 22
The standard value of storage and the number of data carry out asking standard value operation, obtain final standard value.For example, total of three memory
Server, the standard value of first inner server 22 storage is 8, the number of data is 10；First inner server 22 is deposited
The standard value of storage is 9, the number of data is 10；The standard value of first inner server 22 storage is 7, the number of data is
10；The number for then summarizing standard value and data that server is stored according to this three inner servers 22, carries out that standard value is asked to transport
It is (8*10+9*10+7*10)/(10+10+10)=8 to calculate.
The present invention can accomplish more clothes since data are stationed the quick reading memory technology of memory and efficient real time algorithm
Business device receives simultaneously, and multiple servers carry out standard value operation respectively, then is aggregated into director server and carries out summarizing operation and gone
Feelings data can be analyzed quickly and obtain Real-time markets quotation information.Meanwhile saving system creation and maintenance cost.
Fig. 3 is the schematic block diagram of the application market price quotation analysis system embodiment three.As shown in figure 3, this
The market price quotation analysis system of embodiment includes：Data collection station 31, inner server 32, encrypting module 33 and long-range
Mirror back-up module 34；The encrypting module 33 distinguishes phase with the inner server 32 and the Remote Switched Port Analyzer backup module 34
Even.
Specifically, the data collection station 31, inner server 32 are identical as embodiment shown in FIG. 1, this implementation
It is repeated no more in example.The present embodiment emphasis describes the encrypting module 33 and Remote Switched Port Analyzer backup module 34.
The encrypting module 33 is used to the data in inner server carrying out dynamic encryption；The Remote Switched Port Analyzer backup mould
Block 34 is for backuping to encrypted data in the another or multiple inner servers of different regions.Specifically, due to interior
Disadvantage, which is powered off rear data, there are one depositing to preserve, and the present embodiment is handled by the way of remote thermal mirror back-up.It will be interior
After the data dynamic encryption deposited in mirror back-up to the another or multiple inner servers of different regions, it can dispose simultaneously
More, such as Shenzhen, Changsha, Wuhan, Beijing etc., while the possibility powered off is almost nil.
It is further preferred that the system also includes a remote database server, for periodically by the memory service
Remote data in device backups in the hard disk of the database server, and analysis and monitoring are sampled to facilitate.
System using the present invention can not only due to the quick access features of memory and greatly simplifying for calculation
Quickly analysis obtains Real-time markets quotation information, and system creation and maintenance cost is greatly reduced.Simultaneously as more areas are remote
Journey mirror back-up avoids the danger of memory power-off loss of data.
Correspondingly, the present invention also provides a kind of market price quotation analysis method, below in conjunction with the accompanying drawings with reference to the application
Illustrative embodiments the technical solution of the application is described.
Referring to FIG. 4, Fig. 4 is the flow diagram of the application market price quotation analysis embodiment of the method one, this method
Include the following steps：
Step 101, market price data is acquired in real time.
Specifically, data collection station is distributed in the cash register system end in each shop, the valence of its vending articles is acquired in real time
Lattice data.
Step 102, it according to the number of collected data and the standard value and data extracted in storage unit, is asked
Standard value operation.
Specifically, the standard value is a kind of price calculated by complicated formulas according to existing price data in the industry
Market impact factor, for convenience of understanding, in following example using standard value as standard value for, be exemplified below：
Example 1 collects data as a number 6, and the standard value extracted from storage unit is 2.4, and the number of data is
5；It is (2.4*5+6)/(5+1)=3 then to ask standard value operation, that is, it is 3 to seek the new standard value obtained after standard value operation.
The present invention can be converted to a mark for facilitating calculate next time after receiving a gathered data according to data sectional
Quasi- value, in this way after next gathered data is come, so that it may which, to continue to calculate on the basis of last computation, this considerably reduce clothes
The calculating pressure of business device, the real time algorithm that system according to the invention carries out, market operation basically reaches real-time bottom, from receipts
It can be controlled within 10 substations to gathered data to operation completion.
It, can from above-described embodiment as can be seen that using standard value and the only algorithm of the number of storage standard value and data is asked
To save a large amount of memory space, system creation and maintenance cost are saved, also, simple, time-consuming few due to calculating step every time,
It can quickly analyze and obtain Real-time markets quotation information.
Referring to FIG. 5, Fig. 5 is the flow diagram of the application market price quotation analysis embodiment of the method two, this method
Include the following steps：
Step 201, market price data is acquired in real time.
Specifically, it is consistent with embodiment illustrated in fig. 4 step 101, it is repeated no more in the present embodiment.
Step 202, it according to the number of collected data and the standard value and data extracted in storage unit, is asked
Standard value operation.
Specifically, it is consistent with embodiment illustrated in fig. 4 step 102, it is repeated no more in the present embodiment.
Step 203, the number of the number for the data extracted in the storage unit and the data received is added
Method operation.
Specifically, according to above-mentioned example 1, by the number for the data extracted in the storage unit and the data received
It is 5+1=6 that number, which carries out add operation, i.e., the number of new data is 6.
Step 204, the new data obtained after the new standard value and add operation obtained after standard value operation are sought in storage
Number.
Specifically, according to above-mentioned example 1, it is 3 to seek the new standard value obtained after standard value operation, and the number of new data is
6.In the method, the storage unit only need store two numbers, a standard value 3, the number 6 of a data, without
It needs all to store away 6 data.
The present invention can be converted to a mark for facilitating calculate next time after receiving a gathered data according to data sectional
Quasi- value, in this way after next gathered data is come, so that it may which, to continue to calculate on the basis of last computation, this considerably reduce clothes
The calculating pressure of business device, the real time algorithm that system according to the invention carries out, market operation basically reaches real-time bottom, from receipts
It can be controlled within 10 substations to gathered data to operation completion.
It, can from above-described embodiment as can be seen that using standard value and the only algorithm of the number of storage standard value and data is asked
To save a large amount of memory space, system creation and maintenance cost are saved, also, simple, time-consuming few due to calculating step every time,
It can quickly analyze and obtain Real-time markets quotation information.
The application is described above by reference to attached drawing combination specific embodiment.But the above embodiment is only
It being merely exemplary, applicant, which has no idea to enumerate all embodiments, to be also not necessarily to enumerate all embodiments, this
The range of application is not limited to listed embodiment.Those of ordinary skill in the art carry out deformation appropriate to the above embodiment
And modification, without departing from spirit and scope, it should fall among the protection domain of this patent.
Claims (6)
1. a kind of market price quotation analysis system, including data collection station, which is characterized in that further include inner server,
The inner server includes computing unit and storage unit；
The data collection station sends the data to the computing unit for acquiring market price data in real time；
The computing unit is used for according to the data received and the standard value extracted in the storage unit and data
Number, ask standard value operation, and by the number of the number for the data extracted in the storage unit and the data received
Carry out add operation；
The storage unit seeks the new standard value and add operation obtained after standard value operation for storing the computing unit
The number of the new data obtained afterwards.
2. the system as claimed in claim 1, which is characterized in that the system also includes server is summarized, for according to multiple
The number of the standard value and data of inner server storage, carries out asking standard value operation, obtains final standard value.
3. the system as claimed in claim 1, which is characterized in that the system also includes encrypting module and Remote Switched Port Analyzer backup moulds
Block；The encrypting module is used to the data in inner server carrying out dynamic encryption；The Remote Switched Port Analyzer backup module is used for
Encrypted data are backuped in the another or multiple inner servers of different regions.
4. the system as claimed in claim 1, which is characterized in that the system also includes a remote database servers, are used for
Periodically the remote data in the inner server is backuped in the hard disk of the database server.
5. a kind of market price quotation analysis method, which is characterized in that including：
Acquisition market price data in real time；
According to the number of collected data and the standard value and data extracted in storage unit, carry out asking standard value operation.
6. market price quotation analysis method as claimed in claim 5, which is characterized in that described according to collected data
With the number of the standard value and data extracted in storage unit, after the step of carrying out asking standard value operation, further include：
The number of the number for the data extracted in the storage unit and the data received is subjected to add operation；
The number of the new data obtained after the new standard value and add operation obtained after standard value operation is sought in storage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710011172.2A CN108282447A (en) | 2017-01-06 | 2017-01-06 | A kind of market price quotation analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710011172.2A CN108282447A (en) | 2017-01-06 | 2017-01-06 | A kind of market price quotation analysis method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108282447A true CN108282447A (en) | 2018-07-13 |
Family
ID=62801063
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710011172.2A Pending CN108282447A (en) | 2017-01-06 | 2017-01-06 | A kind of market price quotation analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108282447A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009086818A (en) * | 2007-09-28 | 2009-04-23 | Promise Co Ltd | Contract price prediction system |
| CN102203772A (en) * | 2008-09-09 | 2011-09-28 | 真车股份有限公司 | System and method for calculating and displaying price distributions based on analysis of transactions |
| CN104317877A (en) * | 2014-10-21 | 2015-01-28 | 上海交通大学 | Netuser behavior data real-time processing method based on distributed computation |
| CN106104615A (en) * | 2013-12-11 | 2016-11-09 | 天巡有限公司 | For providing method and the server of one group of price evaluation value, such as air fare price evaluation value |
| CN106294486A (en) * | 2015-06-04 | 2017-01-04 | 交通银行股份有限公司 | The processing method of finance market data and system |
-
2017
- 2017-01-06 CN CN201710011172.2A patent/CN108282447A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009086818A (en) * | 2007-09-28 | 2009-04-23 | Promise Co Ltd | Contract price prediction system |
| CN102203772A (en) * | 2008-09-09 | 2011-09-28 | 真车股份有限公司 | System and method for calculating and displaying price distributions based on analysis of transactions |
| CN106104615A (en) * | 2013-12-11 | 2016-11-09 | 天巡有限公司 | For providing method and the server of one group of price evaluation value, such as air fare price evaluation value |
| CN104317877A (en) * | 2014-10-21 | 2015-01-28 | 上海交通大学 | Netuser behavior data real-time processing method based on distributed computation |
| CN106294486A (en) * | 2015-06-04 | 2017-01-04 | 交通银行股份有限公司 | The processing method of finance market data and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220283208A1 (en) | Systems and methods for processing different data types | |
| US20160283129A1 (en) | Method, apparatus, and system for calculating identification threshold to distinguish cold data and hot data | |
| CN108241722A (en) | A kind of data processing system, method and device | |
| CN104933112A (en) | Distributed Internet transaction information storage and processing method | |
| CN101551894A (en) | System and method of supervising credit card arbitrage | |
| KR101435096B1 (en) | Apparatus and method for prediction of merchandise demand using social network service data | |
| CN113468226B (en) | Service processing method and device, electronic equipment and storage medium | |
| CN104486116A (en) | Multidimensional query method and multidimensional query system of flow data | |
| CN108897800A (en) | A kind of method, apparatus and system of managing log information | |
| CN110232586B (en) | Advertisement push system based on big data | |
| CN105446990A (en) | Service data processing method and equipment | |
| US20200257729A1 (en) | Predicting locations based on transaction records | |
| EP2840402B1 (en) | Operating state estimating device for electrical apparatus, operating state estimating method for electrical apparatus, program, feature vector registration device for electrical apparatus, feature vector registration method for electrical apparatus, server apparatus, and operating state estimating system for electrical apparatus | |
| CN113743547B (en) | Asset supervision method and platform based on RFID tag and storage medium | |
| CN108282447A (en) | A kind of market price quotation analysis method and system | |
| Dijaya et al. | Integrated point of sales and snack vending machine based on Internet of things for self service scale micro enterprises | |
| CN110502486A (en) | Log processing method, device, electronic equipment and computer readable storage medium | |
| CN111695035B (en) | Recommendation system and multi-algorithm fusion recommendation processing flow | |
| CN111274255A (en) | Service data monitoring method and system, monitoring architecture, equipment and storage medium | |
| CN110942348A (en) | Face recognition system based on big data analysis | |
| CN105512875A (en) | Refund data processing method applied to point-of-sale terminal and correlated systems | |
| CN109543780A (en) | A kind of electronic business card device and electronic business card marketing method | |
| JPH09120420A (en) | Customer information analysis method | |
| CN115455106A (en) | Power distribution monitoring method, service platform, equipment and storage medium for power distribution operation and maintenance | |
| CN112767012A (en) | Network selling user management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180713 |