CN110309194A - A kind of data analysis set-up, Data Analysis Services system and data analysing method - Google Patents
A kind of data analysis set-up, Data Analysis Services system and data analysing method Download PDFInfo
- Publication number
- CN110309194A CN110309194A CN201910209534.8A CN201910209534A CN110309194A CN 110309194 A CN110309194 A CN 110309194A CN 201910209534 A CN201910209534 A CN 201910209534A CN 110309194 A CN110309194 A CN 110309194A
- Authority
- CN
- China
- Prior art keywords
- data
- analysis
- source
- processor
- information
- 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
Classifications
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Abstract
The invention discloses a kind of data analysis set-up, Data Analysis Services system and data analysing methods, including processor 01, data-analyzing machine 02 is installed on the processor 01, power supply 03 is connected on the outside of processor 01, the processor 01 is also connected with network large database concept 04, its data analysing method determines the designated analysis source in analysis instruction the following steps are included: step S100；Step S101 receives source data from analysis source；Step S102 analyzes the source data in analysis source；Step S103, display analysis result and data relationship.In the present invention, by the operation information and concern information of tracking and record user, and it is individually stored in the form of keyword, being equivalent to user actively is that oneself carries out remarks and label, it is different from user's information that actively consulting obtains, this information is more close to the users reality, and shows the real-time and interim changes in demand of user to a certain extent so that the result of data analysis it is more careful with it is accurate.
Description
Technical field
The invention belongs to data analysis technique field, specially a kind of data analysis set-up, Data Analysis Services system and
Data analysing method.
Background technique
Data analysis refer to statistical analysis technique appropriate to collect come mass data analyze, extract useful letter
Breath and formed conclusion and to data be subject in detail research and summary process.This process is also the branch of quality management system
Hold process.In practical, data analysis can help people to judge, to take appropriate action, the mathematics base of data analysis
Plinth has just been established in early stage in 20th century, but until the appearance of computer just makes it possible practical operation, and data are divided
Analysis is promoted.Data analysis is the product that mathematical and computer sciences combine, and statistics has the research of mathematics very big
Help, statistics combined with the research of mathematics under information technology overall situation can more convenient academic research, for this purpose,
We have proposed a kind of data analysis system and data analysing methods；
Existing data analysis source is still there are many actively providing formula collection with user, such as seeks advice from customer service and information is fed back,
Or by based on artificial discovery, the acquisition information content of this data source is not only limited, and there are certain subjectivity, it is difficult really
With real-time discovery user demand, this decision for also having led to enterprise is easy to that effective antedating response can not be carried out by passive.
Summary of the invention
It is an object of the invention to: in order to solve the problems, such as data source acquisition modes it is single and influence business decision, provide
A kind of data analysis set-up, Data Analysis Services system and data analysing method.
The technical solution adopted by the invention is as follows:
The present invention provides a kind of data analysis set-up, Data Analysis Services system, including processor, pacifies on the processor
Be connected with power supply equipped with data-analyzing machine, on the outside of processor, multiple ports be additionally provided on processor, including input port,
Output port, storage port and communication port.
Wherein, the processor is also connected with network large database concept.
Wherein, it is additionally provided with analysis task processing module in the data-analyzing machine, wherein analysis task processing module includes
Task scheduling modules and priority query's module.
Wherein, data analysing method, comprising the following steps:
Step S100 determines the designated analysis source in analysis instruction；
Step S101 receives source data from analysis source；
Step S102 analyzes the source data in analysis source；
Step S103, display analysis result and data relationship.
Wherein, data analysing method, comprising the following steps:
Step S200 is stored according to user information presetting database and individually；
Step S201, using user information data as analysis source；
Step S202 receives source data from analysis source；
Step S203 analyzes the source data in analysis source and matches large database concept；
Step S204, display analysis result and data relationship.
Wherein, data analysing method, comprising the following steps:
Step S300 is stored according to user information presetting database and individually；
Step S301, tracking user pay close attention to information and consult information keys and typing presetting database；
Step S302, using user information data as analysis source；
Step S303 receives source data from analysis source；
Step S304 analyzes the source data in analysis source and matches large database concept；
Step S305, display analysis result and data relationship.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, in the present invention, presetting database is carried out by user information, and individually stored, then as analysis
It is more reliable and stable to analyze source data compared to the random storage type mode of RAM for source, while individually being stored, not only favorably
In being consulted, it is convenient also to provide for progress manual operation.
2, it in the present invention, is matched by the way that source data will be analyzed with network big data, is carried out by the system of big data
Analyze data relationship, it is more traditional to be analyzed by inside data of enterprise or industry internal data, it is this using big data into
Row analysis after result not only more precisely, and have it is perspective, greatly improve reply decision formulation.
3, the present invention in, by track and record user operation information and concern information, and in the form of keyword into
Row individually storage, being equivalent to user actively is that oneself carries out remarks and label, different from user's information that actively consulting obtains, this
Kind of information is more close to the users reality, and shows the real-time and interim changes in demand of user to a certain extent, is made
The result for obtaining data analysis is more careful, more accurately.
4, it in the present invention, when analysis processor reception analysis instruction carries out generation analysis task, is handled by analysis task
Module is managed its analysis task, can carry out priority by manually carrying out the scheduling of analysis task, or to analysis task
Arrangement, in numerous analysis tasks, according to the actual situation carry out analysis task adjustment, not only promoted flexibility it is same
When, it can also be scheduled according to the actual motion load-bearing capacity of system, guarantee that system all-the-time stable is efficiently run.
Detailed description of the invention
Fig. 1 is modularization block diagram of the invention；
Fig. 2 is the analytical procedure figure of embodiment one in the present invention；
Fig. 3 is the analytical procedure figure of embodiment two in the present invention；
Fig. 4 is the analytical procedure figure of embodiment three in the present invention；
Fig. 5 is the modularization block diagram of example IV in the present invention.
Marked in the figure: 01, processor；02, data-analyzing machine；03, power supply；04, large database concept；05, input port；06,
Output port；07, storage port；08, communication port.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention；Term " first ", " second ", " third "
It is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance；In addition, unless otherwise specific regulation and limit
Fixed, term " installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, be also possible to detachably connect
It connects, or is integrally connected；It can be mechanical connection, be also possible to be electrically connected；It can be directly connected, intermediate matchmaker can also be passed through
Jie is indirectly connected, and can be the connection inside two elements.It for the ordinary skill in the art, can be with concrete condition
Understand the concrete meaning of above-mentioned term in the present invention.
The terms such as " module ", " system " used in present invention description be intended to include with computer-related entity, such as
Including but not limited to hardware, firmware, combination thereof, software or software in execution, such as module can be but not limited to:
Process, processor, object, executable program, the thread of execution, program or the computer run on processor, for example, meter
Calculating the application program run in equipment and this calculating equipment can be module, and one or more modules can be located in execution
In one process or thread, module can also be located on a computer or be distributed in two or more computers it
Between.
Embodiment one, referring to Fig. 1, the present invention provides a kind of data analysis set-up, Data Analysis Services system and data
Analysis method, including processor 01 are equipped with data-analyzing machine 02 on processor 01, power supply 03 are connected on the outside of processor 01；
Referring to Fig. 2, a kind of data analysing method, comprising the following steps:
Step S100 determines the designated analysis source in analysis instruction；
Step S101 receives source data from analysis source；
Step S102 analyzes the source data in analysis source；
Step S103, display analysis result and data relationship.
The step S100-S103 data analysing method provided is described in detail below:
Firstly, processor 01 issues analysis instruction, confirmation analysis source, wherein analysis source includes that client and mobile terminal upload
User information and user behaviors log data, such as consulting customer service, information feedback, all kinds of problems such as artificial discovery with seek advice from direction；
After getting target data, remarks are carried out to target or the convenient identification and capture to data such as paste label,
Remarks can be artificial prefabricated remarks item, carry out matching remarks, same label to target data and label by processor 01
And artificial prefabricated matched by system progress automatic identification is pasted, while remarks or label can also be pasted by manually carrying out remarks
Label, system carry out automatic identification matching and are adhesive with that processing speed is fast, the big advantage for the treatment of capacity, and artificial active operation is then
The high advantage of accuracy both ensures in this way in practical application, the mode for recommending manual system to combine carries out information note
While processing speed, there has also been guarantees for accuracy.
Embodiment two: referring to Fig. 1, the present invention provides a kind of data analysis set-up, Data Analysis Services system and data
Analysis method, including processor 01 are equipped with data-analyzing machine 02 on processor 01, power supply 03 are connected on the outside of processor 01,
Multiple ports are additionally provided on processor 01, including input port 05, output port 06, storage port 07 and communication port
08；
Referring to Fig. 2, a kind of data analysing method, comprising the following steps:
Step S100 determines the designated analysis source in analysis instruction；
Step S101 receives source data from analysis source；
Step S102 analyzes the source data in analysis source；
Step S103, display analysis result and data relationship.
The step S100-S103 data analysing method provided is described in detail below:
Firstly, processor 01 issues analysis instruction, confirmation analysis source, wherein analysis source includes that client and mobile terminal upload
User information and user behaviors log data, such as consulting customer service, information feedback, all kinds of problems such as artificial discovery with seek advice from direction；
After getting target data, remarks are carried out to target or the convenient identification and capture to data such as paste label,
Remarks can be artificial prefabricated remarks item, carry out matching remarks, same label to target data and label by processor 01
And artificial prefabricated matched by system progress automatic identification is pasted, while remarks or label can also be pasted by manually carrying out remarks
Label, system carry out automatic identification matching and are adhesive with that processing speed is fast, the big advantage for the treatment of capacity, and artificial active operation is then
The high advantage of accuracy both ensures in this way in practical application, the mode for recommending manual system to combine carries out information note
While processing speed, there has also been guarantees for accuracy.
Embodiment three, referring to Fig. 1, the present invention provides a kind of data analysis set-up, Data Analysis Services system and data
Analysis method, including processor 01 are equipped with data-analyzing machine 02 on processor 01, power supply 03 are connected on the outside of processor 01,
Also it is connected simultaneously with network large database concept 04, multiple ports is additionally provided on processor 01, including input port 05, output end
Mouth 06, storage port 07 and communication port 08；
Referring to Fig. 3, a kind of data analysing method, comprising the following steps:
Step S200 is stored according to user information presetting database and individually；
Step S201, using user information data as analysis source；
Step S202 receives source data from analysis source；
Step S203 analyzes the source data in analysis source and matches large database concept；
Step S204, display analysis result and data relationship.
Firstly, processor 01 issues analysis instruction, confirmation analysis source, wherein analysis source includes that client and mobile terminal upload
User information and user behaviors log data, such as consulting customer service, information feedback, all kinds of problems such as artificial discovery with seek advice from direction；
After getting target data, remarks are carried out to target or the convenient identification and capture to data such as paste label,
Remarks can be artificial prefabricated remarks item, carry out matching remarks, same label to target data and label by processor 01
And artificial prefabricated matched by system progress automatic identification is pasted, while remarks or label can also be pasted by manually carrying out remarks
Label, system carry out automatic identification matching and are adhesive with that processing speed is fast, the big advantage for the treatment of capacity, and artificial active operation is then
The high advantage of accuracy both ensures in this way in practical application, the mode for recommending manual system to combine carries out information note
While processing speed, there has also been guarantees for accuracy, while using the internet big data system of large database concept, by what is analyzed
Data cases combination big data carries out comprehensive offer information comparison, facilitates being directly viewable for personnel, while being more advantageous to people
Member makes optimal decision scheme；
Individual storage is carried out to user information simultaneously, when obtaining analysis source, it is only necessary to which reading storing data can
To directly acquire analysis source data, with it is existing using user click frequency as record point compared with, not only data acquiring mode is more
What is added is direct, and avoids existing method and be easy to appear Data duplication record, and carry out multiplicating analysis to identical data
The case where occur, data analysis efficiency improve, there has also been guarantees for accuracy.
Example IV, referring to Fig. 1, the present invention provides a kind of data analysis set-up, Data Analysis Services system and data
Analysis method, including processor 01 are equipped with data-analyzing machine 02 on processor 01, power supply 03 are connected on the outside of processor 01,
Also it is connected simultaneously with network large database concept 04, multiple ports is additionally provided on processor 01, including input port 05, output end
Mouth 06, storage port 07 and communication port 08；
Referring to Fig. 4, a kind of data analysing method, comprising the following steps:
Step S300 is stored according to user information presetting database and individually；
Step S301, tracking user pay close attention to information and consult information keys and typing presetting database；
Step S302, using user information data as analysis source；
Step S303 receives source data from analysis source；
Step S304 analyzes the source data in analysis source and matches large database concept；
Step S305, display analysis result and data relationship.
The present embodiment has carried out further optimization on the basis of example 2, to the acquisition of source data, utilizes client
The terminals such as end and mobile terminal, it operates with information to tracking user, has such as carried out concern operation to information a certain in terminal, or
The search of a certain information has been carried out in terminal, or within a specified time frequently a certain category information has been read, and passes through examination
And the keyword of all information is extracted, the presetting database of user is included in as analysis information, for example, user searches for " product A
Benefit how ", examine extract keyword " product A " and " benefit ", this information, which embodies user, has pass to " product A "
Note, but user is " benefit " to " product A " most concerned problem, and when carrying out remarks and pasting label, " benefit " can then be made
For a label, in another example, user frequently reads the information of introduction " product B " and " product A ", examines " product B " and " product
A " proposes, " product A " keyword " benefit ", " product B " is crucial to the recommended information information keys of " product B " and " product A "
Word " keeps steady ", this information embodies concern and choice of the user between " benefit " and " keeping steady "；
Under normal circumstances, most users are reluctant or are reluctant directly to show above-mentioned key message, are more by certainly
Oneself, which consult comparing, judges, active information supply is carried out by customer service or feedback compared with user, this to pass through tracking
The method of user's operation information more can directly embody the actual demand of user, obtain user and be reluctant actively to divulge but need conscientiously
The information wanted, not only the amount to obtain of user information has promotion, and accuracy of information has a big promotion, and also ensures data
The accuracy for analyzing result, is conducive to the formulation of decision.
Embodiment five, referring to Fig. 1, the present invention provides a kind of data analysis set-up, Data Analysis Services system and data
Analysis method, including processor 01 are equipped with data-analyzing machine 02 on processor 01, power supply 03 are connected on the outside of processor 01,
Also it is connected simultaneously with network large database concept 04, multiple ports is additionally provided on processor 01, including input port 05, output end
Mouthful 06, storage port 07 and communication port 08 are additionally provided with analysis task processing module 021 in the data-analyzing machine 02, wherein
Analysis task processing module 021 includes task scheduling modules 001 and priority query's module 002；
Referring to Fig. 4, a kind of data analysing method, comprising the following steps:
Step S300 is stored according to user information presetting database and individually；
Step S301, tracking user pay close attention to information and consult information keys and typing presetting database；
Step S302, using user information data as analysis source；
Step S303 receives source data from analysis source；
Step S304 analyzes the source data in analysis source and matches large database concept；
Step S305, display analysis result and data relationship.
The present embodiment has carried out data-analyzing machine 02 in embodiment three further excellent on the basis of embodiment three
Change, is mainly reflected in and is additionally arranged analysis task processing module 021 for data-analyzing machine 02, analysis task processing module 021 includes:
Task scheduling modules 001 and priority query's module 002 receive analysis instruction in analysis processor 02 and carry out generation analysis task
When, its analysis task is managed by analysis task processing module 021, can by manually carrying out the scheduling of analysis task, or
The arrangement that priority is carried out to analysis task carries out the adjustment of analysis task, no in numerous analysis tasks according to the actual situation
It only while promoting flexibility, can also be scheduled according to the actual motion load-bearing capacity of system, guarantee system all-the-time stable
Efficient operation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (6)
1. the present invention provides a kind of data analysis set-up, Data Analysis Services system, including processor (01), which is characterized in that
It is equipped with data-analyzing machine (02), is connected with power supply (03) on the outside of processor (01), processor (01) on the processor (01)
On be additionally provided with multiple ports, including input port (05), output port (06), storage port (07) and communication port
(08)。
2. a kind of data analysis set-up as described in claim 1, Data Analysis Services system, which is characterized in that the processing
Device (01) is also connected with network large database concept (04).
3. a kind of data analysis set-up as described in claim 1, Data Analysis Services system, which is characterized in that the data
It is additionally provided with analysis task processing module (021) in analyzer (02), wherein analysis task processing module (021) includes task schedule
Module (001) and priority query's module (002).
4. such as a kind of data analysis set-up of claim 1, Data Analysis Services system, which is characterized in that its data analysing method,
The following steps are included:
Step S100 determines the designated analysis source in analysis instruction；
Step S101 receives source data from analysis source；
Step S102 analyzes the source data in analysis source；
Step S103, display analysis result and data relationship.
5. such as a kind of data analysis set-up of claim 2, Data Analysis Services system, which is characterized in that its data analysing method,
The following steps are included:
Step S200 is stored according to user information presetting database and individually；
Step S201, using user information data as analysis source；
Step S202 receives source data from analysis source；
Step S203 analyzes the source data in analysis source and matches large database concept；
Step S204, display analysis result and data relationship.
6. such as a kind of data analysis set-up of claim 2, Data Analysis Services system, which is characterized in that its data analysing method,
The following steps are included:
Step S300 is stored according to user information presetting database and individually；
Step S301, tracking user pay close attention to information and consult information keys and typing presetting database；
Step S302, using user information data as analysis source；
Step S303 receives source data from analysis source；
Step S304 analyzes the source data in analysis source and matches large database concept；
Step S305, display analysis result and data relationship.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209534.8A CN110309194A (en) | 2019-03-19 | 2019-03-19 | A kind of data analysis set-up, Data Analysis Services system and data analysing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209534.8A CN110309194A (en) | 2019-03-19 | 2019-03-19 | A kind of data analysis set-up, Data Analysis Services system and data analysing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110309194A true CN110309194A (en) | 2019-10-08 |
Family
ID=68074362
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910209534.8A Pending CN110309194A (en) | 2019-03-19 | 2019-03-19 | A kind of data analysis set-up, Data Analysis Services system and data analysing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110309194A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120151553A1 (en) * | 2005-11-16 | 2012-06-14 | Azos Ai, Llc | System, method, and apparatus for data cognition incorporating autonomous security protection |
| CN102929219A (en) * | 2012-09-24 | 2013-02-13 | 四川大学 | Cloud-computing-based production monitoring and intelligent scheduling decision making system |
| CN104794003A (en) * | 2015-02-04 | 2015-07-22 | 汉鼎信息科技股份有限公司 | Large data analysis system integrating real-time mode and non-real-time mode |
| CN106175729A (en) * | 2016-07-30 | 2016-12-07 | 重庆峰创科技有限公司 | Intelligent pregnant woman health based on Internet of Things monitoring system |
| CN106970953A (en) * | 2017-03-10 | 2017-07-21 | 中国联合网络通信集团有限公司 | The networking management-control method and its platform analyzed based on big data |
| CN108306979A (en) * | 2018-02-28 | 2018-07-20 | 成都主题智链信息技术有限公司 | A kind of intelligent data excavating analysis system |
| CN208015768U (en) * | 2018-02-28 | 2018-10-26 | 成都主题智链信息技术有限公司 | A kind of intelligent data excavating analysis system |
-
2019
- 2019-03-19 CN CN201910209534.8A patent/CN110309194A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120151553A1 (en) * | 2005-11-16 | 2012-06-14 | Azos Ai, Llc | System, method, and apparatus for data cognition incorporating autonomous security protection |
| CN102929219A (en) * | 2012-09-24 | 2013-02-13 | 四川大学 | Cloud-computing-based production monitoring and intelligent scheduling decision making system |
| CN104794003A (en) * | 2015-02-04 | 2015-07-22 | 汉鼎信息科技股份有限公司 | Large data analysis system integrating real-time mode and non-real-time mode |
| CN106175729A (en) * | 2016-07-30 | 2016-12-07 | 重庆峰创科技有限公司 | Intelligent pregnant woman health based on Internet of Things monitoring system |
| CN106970953A (en) * | 2017-03-10 | 2017-07-21 | 中国联合网络通信集团有限公司 | The networking management-control method and its platform analyzed based on big data |
| CN108306979A (en) * | 2018-02-28 | 2018-07-20 | 成都主题智链信息技术有限公司 | A kind of intelligent data excavating analysis system |
| CN208015768U (en) * | 2018-02-28 | 2018-10-26 | 成都主题智链信息技术有限公司 | A kind of intelligent data excavating analysis system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200304453A1 (en) | Bi-Directional Multi-Channel Social Media Brokering | |
| US10497069B2 (en) | System and method for providing a social customer care system | |
| Veugelers et al. | Linking technology intelligence to open innovation | |
| US20170193423A1 (en) | System And Method For A Household Services Marketplace | |
| US20150134425A1 (en) | Collaboration Catalyst Machine | |
| US8224834B2 (en) | Database message analysis support technique | |
| US9536056B2 (en) | Method and system of machine-to-machine vertical integration with publisher subscriber architecture | |
| CN108765113A (en) | A kind of examination of invoice, reimbursement, management system | |
| US8015047B2 (en) | Method, system, and computer program product for employment market statistics generation and analysis | |
| WO2019132084A1 (en) | Method for recommending online sales channel in online shopping mall integrated management system, and server therefor | |
| KR20090113158A (en) | A system for intelligent user request routing and reception based on the presence and the system for utilizing and managing collective intelligence based on presence using the same | |
| US9940361B2 (en) | Intelligent presence server systems and methods | |
| Biesenbender et al. | The Research Core Dataset for the German science system: challenges, processes and principles of a contested standardization project | |
| Chen et al. | Conceptualizing and measuring service quality: towards consistency and clarity in its application to travel agencies in China | |
| Wang et al. | A novel complex event processing engine for intelligent data analysis in integrated information systems | |
| Le et al. | Analysis of the interdependent co-evolution of product structures and community structures using dependency modelling techniques | |
| CN112686751B (en) | Data management system and technical transaction platform | |
| CN110309194A (en) | A kind of data analysis set-up, Data Analysis Services system and data analysing method | |
| CN108764832A (en) | Municipal administration and public sentiment demand approaches to IM, system, device and equipment | |
| JP2010055494A (en) | Search and analysis server device and search and analysis method | |
| CN114445043A (en) | Open ecological cloud ERP-based heterogeneous graph user demand accurate discovery method and system | |
| CN110309187A (en) | A kind of method and apparatus for applying streaming computing in SAAS system | |
| JP2018013819A (en) | Business matching support system, and business matching support method | |
| Peterson et al. | ICOHR: intelligent computer based oral health record. | |
| Chung et al. | Cross-trained versus specialized agents in an inbound call centre: a simulation-based methodology for trade-off analysis |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191008 |
|
| RJ01 | Rejection of invention patent application after publication |