Information management decision-making method and system based on data mining and grid cloud atlas

Abstract

The embodiment of the invention provides an information management decision-making method and system based on data mining and a grid cloud picture. The method comprises the steps that information of all channels is collected; extracting information feature codes of the channel information; marking the channel information of the same type as information of the same type according to the information feature code; respectively collecting geographical location information of each piece of channel information; marking the channel information at the same geographic position as the same regional information according to the geographic position information; target information is determined according to the information of the same type and the information of the same area, and the target information is an intersection of the information of the same type and the information of the same area; and aiming at each piece of target information, establishing a grid cloud picture. According to the technical scheme provided by the invention, the problem of information isolated island in the prior art is solved.

Description

Technical Field

[0001] This document relates to the field of sports science and motion analysis, and in particular to an information management decision-making method and system based on data mining and grid cloud maps. Background Art

[0002] The basic purpose of information management activities is to make information resources effectively apply to various human activities, provide information services for the society's economic activities, political activities, and cultural activities, and provide quantitative analysis, prediction, and control related to various activities.

[0003] The existing government affairs system creates various platforms for various functional departments and business scenarios to support the efficient implementation of various business tasks.

[0004] However, in actual scenarios, basic information of various functional departments and business scenarios is collected multiple times and with different standards, forming "information islands" and reducing the efficiency of comprehensive information utilization. Summary of the invention

[0005] In view of the above analysis, this application aims to propose an information management decision-making method and system based on data mining and grid cloud map to assist identification experts in making accurate judgments.

[0006] In a first aspect, one or more embodiments of this specification provide an information management decision-making method based on data mining and grid cloud map, which is applied to a government affairs system, including:

[0007] Collect information from each channel separately;

[0008] Extracting information feature codes of each of the channel information;

[0009] According to the information feature code, the channel information of the same type is marked as the same type of information;

[0010] Collecting geographical location information of each of the channel information respectively;

[0011] According to the geographical location information, the channel information in the same geographical location is marked as the same area information;

[0012] Determine target information according to the same type of information and the same area information, where the target information is the intersection of the same type of information and the same area information; and

[0013] A grid cloud map is established for each of the target information.

[0014] In the embodiment of the present application, before marking the channel information of the same type as the same type of information, the method further includes:

[0015] The collected channel information is cleaned and data that does not conform to the preset format is deleted.

[0016] In an embodiment of the present application, the method further includes:

[0017] Collect the IP addresses of the information of each channel respectively;

[0018] Determining location data of the channel information according to the IP address; and

[0019] According to the positioning data, the channel information corresponding to the same positioning data is marked as the same area information.

[0020] In an embodiment of the present application, the method further includes:

[0021] Determine the number of times the target information appears in the corresponding channel information; and

[0022] When the number is less than a preset value, the updating of the corresponding grid cloud image is stopped.

[0023] In a second aspect, one or more embodiments of this specification provide an information management decision-making device based on data mining and grid cloud graph, including:

[0024] The collection module is used to collect the channel information from each region and the geographical location information of each channel information;

[0025] The extraction module is used to extract the information feature code of each channel information;

[0026] The data processing module is used to mark the channel information of the same type as the same type of information according to the information feature code; mark the channel information in the same geographical location as the same area information according to the geographical location information; determine the target information according to the same type of information and the same area information, and the target information is the intersection of the same type of information and the same area information; and

[0027] The cloud map building module is used to build a grid cloud map for each target information.

[0028] In an embodiment of the present application, the channel information includes local media information, network search information and questionnaire information; and

[0029] The device also includes: a data preprocessing module;

[0030] The data preprocessing module is used to clean the collected channel information and delete the data that does not conform to the preset format.

[0031] In an embodiment of the present application, the data processing module is also used to collect the IP addresses of each channel information respectively; determine the positioning data of the channel information based on the IP addresses; and mark the channel information corresponding to the same positioning data as the same area information based on the positioning data.

[0032] In the embodiment of the present application, the device further comprises: an update evaluation module;

[0033] The update evaluation module is used to determine the number of times the target information appears in the corresponding channel information; when the number is less than a preset value, the corresponding grid cloud map is stopped from being updated.

[0034] In a third aspect, one or more embodiments of this specification provide an information management decision system based on data mining and grid cloud map, which is applied to a government affairs system, including: a business support platform, a data support platform, a cloud platform, and an information management decision device based on data mining and grid cloud map as described in any one of claims 5 to 8;

[0035] The business support platform is used to collect channel information generated by various departments;

[0036] The data support platform is used to collect channel information generated by each specific business; and

[0037] The cloud platform is used to classify and store the data collected by the business support platform and the data support platform;

[0038] The information management decision-making device based on data mining and grid cloud map is used to construct a grid cloud map according to the data in the cloud platform.

[0039] In a fourth aspect, one or more embodiments of the present specification provide a storage medium for storing computer-executable instructions, characterized in that when the computer-executable instructions are executed, the steps of an information management decision-making method based on data mining and grid cloud maps described in any one of the first aspects are implemented.

[0040] Compared with the prior art, this application can at least achieve the following technical effects:

[0041] The present invention is an information management decision-making method and system based on data mining and grid cloud map. Channel information from different areas is collected through a data acquisition module. Channel information and target information are classified and processed, and data mining is performed on the same type of target information. The channel information and time of the target information are analyzed respectively. A grid cloud map is generated in the area where the target information is located according to the analysis results. Different colors of the grid cloud map are set according to the different update times of the target information, so that the grid cloud map is dynamically displayed. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 A flow chart of an information management decision-making method based on data mining and grid cloud diagram provided for one or more embodiments of this specification;

[0044] Figure 2 A schematic diagram of the structure of an information management decision-making device based on data mining and grid cloud diagram provided for one or more embodiments of this specification. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0046] The existing information management methods and systems have the following problems when making information management decisions: Since the information obtained from various channels has not been sorted and classified, when checking and comparing various information, they can only be checked one by one. In the face of a large amount of information, this search not only wastes time, but also easily misses some important information. In addition, the existing information management methods and systems are unable to analyze and mine massive data, resulting in important information being hidden in a large amount of data, resulting in the inability to find such important information in time when making management decisions.

[0047] In view of the above problems, this application provides an information management decision-making method based on data mining and grid cloud map, such as Figure 1 As shown, it is applied to the government affairs system and includes the following steps:

[0048] Step 1: Collect information from each channel separately.

[0049] In the embodiment of the present application, channel information includes local media information, network search information and questionnaire information. Local media information includes government office intranet, information release system, portal website, Weibo, WeChat public account, web page information, etc. Network search information includes online public opinion, search engine, government Weibo, website, etc. Questionnaire information includes online questionnaire survey, on-site questionnaire survey, etc.

[0050] Step 2: Extract the information feature code of each channel information.

[0051] In the embodiment of the present application, the information feature code includes a title and a content summary.

[0052] Step 3: According to the information feature code, the channel information of the same type is marked as the same type of information.

[0053] In the embodiment of the present application, whether the types of channel information are the same is determined based on semantic analysis.

[0054] Step 4: Collect the geographic location information of each channel information separately.

[0055] In the embodiment of the present application, the geographic location information includes specific location information of provinces, cities, counties and streets.

[0056] Step 5: Based on the geographic location information, the channel information in the same geographic location is marked as the same area information.

[0057] Step 6: Determine the target information based on the same type of information and the same area information.

[0058] In an embodiment of the present application, the target information is the intersection of information of the same type and information of the same area. Information from different channels is reclassified according to information type and geographic location to break the information island from the information collection stage, thereby avoiding repeated information collection. For example, both department A and department B need information C. In the prior art, department A and department B have their own channels for obtaining information. Therefore, department A and department B do not know in advance that the two departments need to collect the same content, which will cause repeated information collection. At the same time, there is a problem of inconsistent standards for collecting data through different channels. Later, when departments A and B coordinate, there will be repeated communication and confirmation of the workflow and data accuracy. After mining the target information in the above manner, departments A and B can share the target information directly from the system, and the data format is unified, laying the foundation for subsequent coordination.

[0059] Step 7: Create a grid cloud map for each target information.

[0060] In an embodiment of the present application, a grid cloud map is established for target information so that dynamic intelligence of the target information can be shared among departments.

[0061] It can be seen from this that the technical solution provided by this application classifies information from each channel from two dimensions: information type and regional information, so as to avoid repeated information acquisition by various departments and ensure that the data format acquired by each department is unified, laying the foundation for subsequent coordination between departments.

[0062] In the embodiment of the present application, in order to further ensure the accuracy of the data, the collected channel information is cleaned and the data that does not conform to the preset format is deleted. After the data is cleaned, the data of the same type is labeled to improve the accuracy of the data. Among them, the data that does not conform to the preset format includes: wrong, unreasonable, incomplete, repeated and format-incompatible data.

[0063] In the embodiment of the present application, a lot of network information does not provide specific geographic location information. In this case, it is impossible to classify the information according to geographic information, so it is necessary to track the IP address of the network information, and then replace the geographic location information with the IP address to classify the channel information. Specifically, the IP address of each channel information is collected respectively; according to the IP address, the location data of the channel information is determined; and according to the location data, the channel information corresponding to the same location data is marked as the same area information.

[0064] In the embodiment of the present application, in order to further improve data processing efficiency and save data storage resources, the number of times the target information appears in the corresponding channel information is determined; when the number is less than a preset value, the corresponding grid cloud map is stopped from being updated. Important information will be continuously fed back through various channels. Therefore, when the number of times the target information appears in the corresponding channel information is greater than a threshold, it means that the event corresponding to the information needs to be focused on, so it is necessary to continuously update the grid cloud map corresponding to the information, so that each department can track the corresponding event in real time, thereby improving efficiency.

[0065] When the number is less than the preset value, it means that the event corresponding to the information has been resolved from multiple dimensions, and only a few departments need to carry out the finishing work. Since the main communication and coordination have been completed in the early stage, the amount of coordination work and the number of departments involved in the coordination work are greatly reduced at the end, and there is no need to communicate and coordinate in the form of data cloud maps. At this time, the update of the corresponding grid cloud map can be suspended to ensure that there are sufficient computing resources to maintain the update of other cloud maps and sufficient storage resources to create more grid cloud maps.

[0066] The embodiment of the present application provides an information management decision-making device based on data mining and grid cloud map, which is applied to the government affairs system, including: a collection module 201, an extraction module 202, a data processing module 203 and a cloud map construction module 204;

[0067] The collection module 201 is used to collect the channel information from each region and the geographical location information of each channel information;

[0068] The extraction module 202 is used to extract information feature codes of each channel information;

[0069] The data processing module 203 is used to mark the channel information of the same type as the same type of information according to the information feature code; mark the channel information in the same geographical location as the same regional information according to the geographical location information; determine the target information according to the same type of information and the same regional information, and the target information is the intersection of the same type of information and the same regional information; and

[0070] The cloud map building module 204 is used to build a grid cloud map for each target information.

[0071] In the embodiment of the present application, the channel information includes local media information, network search information and questionnaire information; and

[0072] The device also includes: a data preprocessing module;

[0073] The data preprocessing module is used to clean the collected channel information and delete the data that does not conform to the preset format.

[0074] In an embodiment of the present application, the data processing module is also used to collect the IP addresses of each channel information respectively; determine the positioning data of the channel information based on the IP addresses; and mark the channel information corresponding to the same positioning data as the same area information based on the positioning data.

[0075] In the embodiment of the present application, the device further comprises: an update evaluation module;

[0076] The update evaluation module is used to determine the number of times the target information appears in the corresponding channel information; when the number is less than a preset value, the corresponding grid cloud map is stopped from being updated.

[0077] The embodiment of the present application provides an information management decision system based on data mining and grid cloud map, including:

[0078] A business support platform, a data support platform, a cloud platform, and an information management decision-making device based on data mining and grid cloud graphs as described in any of the above embodiments;

[0079] The business support platform is used to collect channel information generated by various departments;

[0080] The data support platform is used to collect channel information generated by each specific business; and

[0081] The cloud platform is used to classify and store the data collected by the business support platform and the data support platform;

[0082] The information management decision-making device based on data mining and grid cloud map is used to construct a grid cloud map according to the data in the cloud platform.

[0083] An embodiment of the present application provides a storage medium for storing computer-executable instructions, which, when executed, may perform the steps of the information management decision-making method based on data mining and grid cloud maps described in any of the above embodiments.

[0084] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0085] In the 1930s, improvements to a technology could be clearly distinguished as hardware improvements (for example, improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (improvements to the method flow). However, with the development of technology, many improvements to the method flow today can be regarded as direct improvements to the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that an improvement in a method flow cannot be implemented using a hardware entity module. For example, a programmable logic device (PLD) (such as a field programmable gate array (FPGA)) is such an integrated circuit whose logical function is determined by the user's programming of the device. Designers can "integrate" a digital system on a PLD by programming it themselves, without having to ask a chip manufacturer to design and produce a dedicated integrated circuit chip. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly implemented by "logic compiler" software, which is similar to the software compiler used when developing and writing programs, and the original code before compilation must also be written in a specific programming language, which is called hardware description language (HDL). There is not only one HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc. The most commonly used ones are VHDL (Very-High-Speed ​​Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also know that it is only necessary to program the method flow slightly in the above-mentioned hardware description languages ​​and program it into the integrated circuit, and then it is easy to obtain the hardware circuit that implements the logic method flow.

[0086] The controller can be implemented in any appropriate manner, for example, the controller can take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) that can be executed by the (micro)processor, a logic gate, a switch, an application-specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320. The memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that in addition to implementing the controller in a purely computer-readable program code manner, the controller can be implemented in the form of a logic gate, a switch, an application-specific integrated circuit, a programmable logic controller, and an embedded microcontroller by logically programming the method steps. Therefore, this controller can be considered as a hardware component, and the devices included therein for implementing various functions can also be regarded as structures within the hardware component. Or even, the devices for implementing various functions can be regarded as both software modules for implementing the method and structures within the hardware component.

[0087] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0088] For the convenience of description, the above devices are described in terms of functions and are divided into various units. Of course, when implementing the embodiments of this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0089] It should be understood by those skilled in the art that one or more embodiments of this specification may be provided as a method, system or computer program product. Therefore, one or more embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0090] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0091] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to act in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device that implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0093] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0094] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0095] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0096] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0097] One or more embodiments of the present specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. One or more embodiments of the present specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0098] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0099] The above description is only an embodiment of this document and is not intended to limit this document. For those skilled in the art, this document may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this document should be included in the scope of the claims of this document.

Claims

1. An information management decision-making method based on data mining and grid cloud map, characterized in that: Applied to government systems, including: Collect information from each channel separately; Extracting information feature codes of each of the channel information; According to the information feature code, the channel information of the same type is marked as the same type of information; Collecting geographical location information of each of the channel information respectively; According to the geographical location information, the channel information in the same geographical location is marked as the same area information; Determine target information according to the same type information and the same area information, wherein the target information is an intersection of the same type information and the same area information; and A grid cloud map is established for each of the target information.

2. The method according to claim 1, characterized in that Before marking the channel information of the same type as the same type of information, the method further includes: The collected channel information is cleaned and data that does not conform to the preset format is deleted.

3. The method according to claim 1, characterized in that The method further comprises: Collect the IP addresses of the channel information respectively; Determining location data of the channel information according to the IP address; and According to the positioning data, the channel information corresponding to the same positioning data is marked as the same area information.

4. The method according to claim 1, characterized in that: The method further comprises: Determine the number of times the target information appears in the corresponding channel information; and When the number is less than a preset value, the updating of the corresponding grid cloud image is stopped.

5. An information management decision-making device based on data mining and grid cloud map, characterized in that: Applied to government affairs system, including: collection module, extraction module, data processing module and cloud map construction module; The collection module is used to collect the channel information from each region and the geographical location information of each channel information; The extraction module is used to extract the information feature code of each channel information; The data processing module is used to mark the channel information of the same type as the same type of information according to the information feature code; mark the channel information in the same geographical location as the same area information according to the geographical location information; determine the target information according to the same type of information and the same area information, and the target information is the intersection of the same type of information and the same area information; and The cloud map building module is used to build a grid cloud map for each target information.

6. The device according to claim 5, characterized in that The channel information includes local media information, network search information and questionnaire information; and The device also includes: a data preprocessing module; The data preprocessing module is used to clean the collected channel information and delete the data that does not conform to the preset format.

7. The device according to claim 5, characterized in that The data processing module is also used to collect the IP addresses of each channel information respectively; determine the positioning data of the channel information according to the IP addresses; and mark the channel information corresponding to the same positioning data as the same area information according to the positioning data.

8. The device according to claim 6, characterized in that The device further comprises: an update evaluation module; The update evaluation module is used to determine the number of times the target information appears in the corresponding channel information; when the number is less than a preset value, the corresponding grid cloud map is stopped from being updated.

9. An information management decision system based on data mining and grid cloud map, characterized in that: include: A business support platform, a data support platform, a cloud platform, and an information management decision-making device based on data mining and grid cloud maps as described in any one of claims 5 to 8; The business support platform is used to collect channel information generated by various departments; The data support platform is used to collect channel information generated by each specific business; as well as The cloud platform is used to classify and store the data collected by the business support platform and the data support platform; The information management decision-making device based on data mining and grid cloud map is used to construct a grid cloud map according to the data in the cloud platform.

10. A storage medium for storing computer executable instructions, characterized in that: When executed, the computer executable instructions implement the steps of the information management decision-making method based on data mining and grid cloud map according to any one of claims 1 to 4.

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