Abstract
Hindawi Journal of Robotics Volume 2022, Article ID 1271691, 10 pages https://doi.org/10.1155/2022/1271691 Research Article The Application of Multimedia Visualization Platform in Business Management from the Perspective of Supply Chain Management Nuan Wang School of Economics and Trade, Henan Polytechnic Institute, Nanyang 473000, China Correspondence should be addressed to Nuan Wang; wangnuan@hnpi.edu.cn Received 11 July 2022; Revised 16 August 2022; Accepted 30 August 2022; Published 19 September 2022 Academic Editor: Shahid Hussain Copyright © 2022 Nuan Wang. �is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. At present, in the process of enterprise operation and development, the implementation of enterprise operation modernization is a necessary condition and an e‚ective measure to raise the management level. With the aim to achieve such enterprise mod- ernization, it is necessary to improve the management’s modernization ability by improving the modernization level of en- terprises. �erefore, corporate executives should pay more attention to the construction of informatization and implement informatization through e‚ective methods and measures to further improve management e†ciency. It will note the concept and connotation of business management, analyze the signiˆcance of the multimedia visualization platform at the level of enterprise business supply chain, analyze the current business management of enterprises and put forward scientiˆc coping strategies, cater to the social development situation, and constantly innovate the development path of enterprise network information and chemical business management; this will help related majors. development goals of enterprises is promoted [4]. Some 1. Introduction enterprises lack the emphasis on network informatization Science as well as management modes are also changing. �e and still adopt it in such process business. �erefore, en- traditional manual management system has become in- terprise management should improve the understanding of creasingly di†cult to adapt to the needs of high-intensity the network and the process of business management. and high-e†ciency management, so it is very necessary to Network information optimizes the management level of implement informatization [1] in the management process. each business link of the enterprise and promotes the high- �e competent department is the director of business [2]. quality development of the enterprise. Once the management cannot keep up with the development �e e†cient integration of information technology and of society, the development speed of the enterprise will be enterprise internal operation management can improve the limited to a certain extent, and the promotion of the growth immediacy and accuracy of enterprise internal information of the enterprise has not received su†cient attention in the collection [5], promote scientiˆc and e‚ective enterprise internal management decisions, enhance the sensitivity of early stage of development [3]. In the 1980s, Chinese en- terprises gradually began to introduce computer informa- enterprise internal to market information, and promote the tion technology and modern management methods in the improvement of enterprise overall level [6]. �e company ˆelds of operation and management and achieved corre- will continue to develop. �e integration of network in- sponding successful development [1]. formation technology in the business management of en- In the process of the daily management of enterprises in terprises should break the traditional way of thinking [7], a network, the management level of enterprises is optimized, avoid relying on the subjective assumptions or experience the management role is played for the economic develop- management of managers, and rely on big data technology to ment of enterprises, the current market development situ- analyze various business data indicators of the enterprise ation is catered for, and the realization of strategic and provide reliable data for business decision-making 2 Journal of Robotics company, and increase its own knowledge reserve [19]. support [8]. On the one hand, the company should use network technology to monitor the financial data infor- Based on the DirectShow framework, this paper focuses on the concept, characteristics, and connotations of business mation formed in the production and operation of all parts of the company in an all-round way, effectively acquire, administration, analyzes the significance of multimedia vi- integrate, classify, and analyze the data, discover the po- sualization platforms in the improvement of enterprise tential value of data information and combine it with the business management levels under the perspective of supply current market development trend, screen out valuable data chain management, discusses the current problems in en- and information for the development of the enterprise itself, terprise business administration, proposes scientific coping help the enterprise to identify the development direction in strategies to cater to the social development situation, and constantly innovates the development path of enterprise the production and operation of the enterprise, promote the improvement of the economic profit of the enterprise, and network informatization business management. ensure the realization of the strategic development goal [9]. On the other hand, the effective integration of network 2. Related Concepts and Theoretical Basis information technology in enterprise business management can help enterprises to obtain diversified data information 2.1. Concepts Related to Business Management and Business from various internal production departments and various Informatization. Business management contains rich upstream and downstream enterprises in the external in- management content and has a very broad concept. (is is dustrial chain and more comprehensively analyze the cur- an indispensable means of modern company management rent market positioning of enterprises [10], and establish a and financial management. In the operation process of the scientific early warning mechanism, and make scientific and company, each production link is constrained by relevant reasonable risk avoidance measures to help enterprises find a systems to ensure that each department and operation scientific and stable business direction and management process of the enterprise conform to the industry and strategy, and improve the supervision level of all aspects of commerce. Management requirements can ensure the re- enterprise operation and management [11]. alization of the overall production efficiency of the enter- Multimedia visualization technology is an auxiliary prise. With the in-depth development of informatization, means of business management. In line with knowledge as dataization, and intelligent technology, which penetrates well as information acceptance ability, the company will deeply into various fields, it has affected the production level adopt multimedia teaching and visualization technology to as well as the work rhythm of enterprises. (e business alter the mode of management and innovate the manage- decisions of various departments of the enterprise affect the ment concept, so as to improve the cognitive structure of the strategic goals of the enterprise. Enterprises are caught in enterprise and improve the interest of management. In view tax-related risks, financial risks, legal risks, etc., and network of the specific content of business management, enterprises information on chemical business management can help mobilize the interests of enterprises through reasonable enterprises avoid potential business risks and provide a clear implementation of management design and carry out en- path for the sustainable development of enterprises [20]. terprise-independent learning through joint research. (e (e informatization of business management is the business administration discipline covers a wider range and integration of information technology into traditional has more complex knowledge points [12]. (erefore, en- business management models. (e application of computer terprises should carry out multimedia presentations and Internet-related technologies to traditional business according to the course objectives of business administra- management processes has improved the efficiency of tion, show management scenarios to the company intuitively business management, broadening the functions of business [13], stimulate the company’s curiosity, transform theoret- management. Compared with traditional business man- ical knowledge into practical skills through the display of agement, the informatization of business management has multimedia visualization technology, and encourage com- the advantages of accuracy and speed in information ac- panies to explore in discovery [14]. Let the company learn quisition, integration, transmission, and analysis accuracy of independently and mobilize the company’s learning ini- business decisions. Business management and informati- tiative [15]. Use multimedia visualization technology in zation have different functional attributes, and the inte- management to enhance the diversity of management [16]. gration of the two requires such carriers. Information In terms of management, the company introduced the technology should be developed and utilized on the basis of specific contents of business management training in the the traditional business management model. At the same form of photos, music, and videos, which helped the en- time, the business management modes of enterprises in terprise to master professional knowledge faster, flexibly different fields are different, and the practicality and ex- apply the knowledge to a specific practice, and improve tensiveness of informatization are required to be high, and learning efficiency [17]. (e use of multimedia management the informatization technology is required to be compatible can strengthen the company’s practical ability and improve with different business management modes. Information the company’s professional quality [18]. At the same time, technology can realize the sharing of information materials improving the management level of the enterprise can within the company, improve the quality of information improve the company’s innovation awareness to a certain transmission among various departments of the company, extent, fully apply the innovative spirit to the management of break down the obstacles and defects of information the enterprise, improve the management ability of the communication among various departments under the Journal of Robotics 3 traditional company mode, promote cooperation among 400 various departments, and promote the efficient development of the enterprise. Information processing is a kind of activity that com- bines management information with computer network technology and uses new information technology to manage and integrate information materials so as to control and 100 73 serve information. Information processing is a very common 67 management method for companies because the quality of 50 22 12 12 3 5 1 0 2 0 2 data processed by computers is better and the efficiency and convenience can be greatly improved. (e operation func- tion of the system mainly depends on manual operation, and Figure 1: Time distribution of the number of publications in the manual operation will inevitably make mistakes. After being international research literature on business administration. inquired by the computer, the operator can conveniently inquire about the key information contained in the specific information. (e realization of management informatization systems integrating environmental knowledge into the whole process in small and medium-sized enterprises has very important of enterprises to optimize resource utilization efficiency, practical significance, and management design involves reduce environmental pollution, and increase social welfare. many aspects and the objects oriented are also very diverse. In the research of supply chain management, Sarkis and Unless the traditional management methods are changed, others are based on the following nine basic theories: the the human resources invested in management will be very basic theory of system complexity; the theory of ecological modernization; the basic theory of information; the market large, and management departments cannot afford it. Moreover, as shown in Figure 1, under the situation of system theory; and the basic theory of information, in- cluding trade efficiency. For a such realization of elec- increasing management efficiency today, once the state administrative organs fail to improve their work efficiency, tronically registered residence, the current database service many business problems for industrial and commercial system has defects in data analysis, and it is very difficult to enterprises and traders will accumulate, and it may even take obtain useful policy data. It is urgent to develop a new a year to handle them. (is is also contrary to the state’s generation of big data analysis systems with multimedia demands for reducing the burden of business management. visualization. As a new force in the field of big data analysis (erefore, it is imperative to promote the information. and application, supply chain data management has in- creasingly shown its good ability and practicability. It an- alyzes and summarizes the current theoretical research 2.2. Supply Chain Management. In 1996, the management status of supply chain management and the future trend of and research committee of Michigan State University took basic theoretical research and provides research theories that the lead in introducing the concept of supply chain control. can further understand and explain supply chain manage- It points out that enterprise managers should integrate ment issues in future scientific research, such as innovation environmental factors into the design, procurement, pro- diffusion theory and path dependence theory, social em- duction, assembly, packaging, logistics, and distribution of bedding theory, structure theory, and agency theory. enterprise activities at every session. Supply chain man- (e drivers of supply chain management are important agement is an interorganizational practice that incorporates factors in ensuring the successful implementation of the environmental factors into supply chain management, in- supply chain. Supply chain management is originally driven cluding reverse logistics. Hall believes that supply chain by management and laws and regulations, and the smooth management starts with the concept of sustainable devel- implementation of supply chain management depends on opment and through the close cooperation between enter- managers’ insight into the macroenvironment and the ability prise departments and enterprises. (e entire supply chain is to optimize enterprise resources, as well as their excellent coordinated and unified in environmental management so management ability to take the environment and enterprise as to achieve the optimal system environment. In addition, benefits into account. Considering the source of driving Tseng and others also believe that on the supplier platform, factors and other factors, the main motivation of driving suppliers and users are the most attractive subjects for factors can be divided into active and passive. As shown in upstream and downstream cooperation of enterprises, and Figure 2, environmental protection awareness comes from cooperation with core enterprises can reduce the impact of the company’s own emphasis on environmental protection, enterprises on the environment. For this reason, Tseng and including factors such as corporate image or social or en- others define supply chain management as follows: inte- vironmental responsibility; regulatory requirements, which grating environmental management into the enterprise are externally imposed environmental protection require- process, promoting information and data resource sharing, ments on enterprises, including local governments and and improving environmental performance through col- international organizations; laws, rules, and regulations, laboration with customers, suppliers, and logistics enter- such as the requirements of ISO14001 certification; and prises. Generally, scholars define enterprise management as internal motivation, which comes from the company’s Number of documents 2021 4 Journal of Robotics external pressure rule requirements Supplier client Regulatory government Environmental Certification pressure regulations external supply chain market ISO14001 pressure government certification intervention competitive requirements supplier pressure internal motivation rule requirements management Business support Performance Social/ sustainable Learning Corporate image Environmental internal supplier Organization Responsibility cost saving Product/Process strategy Improvements initiative passive Figure 2: Drivers of supply chain management. internal drive to implement green supply chain manage- (ey also overcome their own difficulties by improving their ment. In order to achieve the goal of green environmental own methods, improving their research abilities and ap- protection, the company needs to upgrade the green op- plication technology, and adapting to the research needs of eration concept to a strategic level. External pressure refers development at all levels. to the direct or indirect requirements of stakeholders in the supply chain, including competitive pressures, customers, 3. Related Technologies and market requirements. We create a filter graph manager to coordinate state tran- sitions between filters, establish a reference clock, and 2.3. Features and Advantages of Multimedia Visualization provide a way for applications to build filter graphs. (e filter graph manager interface used in this system is as follows: Platform. (e traditional big data analysis teaching course has many problems, such as strong theory and strong (1) IGraphBuilder, the main function of this interface is concepts that are difficult for enterprises to master. (e to create a filter graph. current statistical and analytical tools are not suitable for the (2) IMediaControl, this interface contains some func- application or practice of courses, because they are more tions to control the multimedia stream, which are professional and have higher training costs. (e statistical used to control the three states of the multimedia analysis and visualization platform of Python can solve these stream (flow, stop flow, and pause flow). problems well. Figure 3 gives the framework for the com- pany to apply multimedia visualization technology to the (3) IMediaEvevtEx, the function of this interface is to process the events in the chart. whole process of business administration in the supply chain management horizon. It mainly uses multimedia visuali- (4) IBasicAudio, the function of this interface is to zation technology to enhance the diversity of management. control some attributes such as audio volume and Enterprises can also use the data analysis module of the audio balance. system. After mastering the basic knowledge, students can (5) IBasicVideo, the function of this interface is to set choose different algorithms to carry out data mining ex- some properties of the video. periments according to their own interests and needs. Be- (6) IMediaSeeking, the function of this interface is to set cause the basic knowledge level of each company is different, the playback speed and locate the playback position. enterprises can use the visual platform to carry out targeted training to improve their learning enthusiasm. (7) IMediaPosition, the function of this interface is to Give us some cases related to our practice. Combine find the position corresponding to the multimedia these examples and knowledge to improve the under- data. (erefore, the general steps for DirectShow- standing of data mining applications. You can also create based multimedia streaming are as follows: the ap- and upload your own cases, contact other users, and acquire plication establishes the corresponding filter self-knowledge and skills in this process. according to a certain intention; build a filter graph (e operating system will provide open-source code and manager in the application to manage these filters; comments for all algorithms. Enterprise personnel can connects each filter through pins as required; and understand the specific implementation of these algorithms controls the entire data processing through the filter and execute these codes while understanding and learning. graph manager. Journal of Robotics 5 (9) Financial middle office: Deposit and Loan Accounting Accounts receivable settlement Financial Center Payable settlementcost analysis (4) WMS system (8) Platform guest operating system settlement (2) BPM system Warehouse (12) Supplier Portal (8) Platform customer management system 1.Collaboration Pingku Including private 2. decision making general contractor project 3. dispatching management Mold base (3) SCM system business project system purchase Industrial Upstream service administration routing supplier provider (1) Platform base machining Labor service (7) Supplier collaboration terminal Labor provider Distribution factory routing (5) MES system (11) Labor service platform (10) contract management (11) Labor operation terminal labour services Distribution (13) Control cabinet system connection (13) Control cabinet system terminal (14) Management board & cockpit Figure 3: Visual management framework of the whole process of company operation business. (e class responsible for multimedia stream separation Table 1: Description dictionary of visualization requirements. and decoding is the stream media pro class. (e initial graph Data Type Field name Field abbreviation () method is responsible for initializing the filter graph, the type length getPin () method is responsible for obtaining the filter pins, Requirement code Request code Int 10 the connectPintoFilters () method connects the pins with the Requirement name Request name Char 50 filter, and the play () method, pause () mode, and stop () Functional Request function Char 50 mode are responsible for running, suspending and stagnant requirement states of the multimedia stream. Data requirement Data request Char 50 (e voice signal is generally between 10ms and 30ms; Result requirement Result request Char 50 Time dimension Time dimension Char 50 we can consider it stable. In reality, speech signals are very Space dimension Space dimension Char 50 long, and we cannot process long data at one time, but we Parameter can decompose it and take a small piece of data for analysis Parameter dimension Char 50 dimension each time. In order to decompose the long audio into short audio segments, we adopt the method of adding a Hamming window to a long audio segment. (e Hamming window can use is to move only 1/3 or 1/2 of the window when moving be regarded as the sum of the spectrum of the three rect- the window. After this method is applied, the data on both angular times windows, or the sum of the three sinc (t) type sides of the window will not be lost. functions, while the two items in parentheses move π/T left (e description required by business management data and right relative to the first spectrum window, so that the mining is the direction indicator for all subsequent services. side flaps cancel each other, eliminating high-frequency Accurate positioning can effectively reduce misunder- interference and energy leakage. Suitable for nonperiodic standing during excavation. (is paper uses the business continuous signals. management database, based on the current mining situa- (e calculation formula of the Hamming window is tion, including the change of the market investment scale, given as follows: the operation of target customers, and the change of market 2πn ⎧ ⎪ entities as shown in Table 1 0.54 − 0.46 cos , N − 1 Information incitement was initiated by C. E. Shannon W(n) � (1) wrote in his 1948 article about the geometric concepts of communication. He believes that there is redundancy in all data, and the degree of redundancy is directly related to the After adding the Hamming window, the intercepted probability and uncertainty of various contents (quantity, signal time segment is actually subjected to periodic ex- letters, or English words) in the data. (e calculation for- tension processing, and the data shape has the feeling of a mula is as follows: period. However, after the infinitely long signal is truncated, spectral energy leakage will occur because after adding the H(X) � E I X � E log . (2) i 2 Hamming window, the data information on both sides of the P X window is lost. In order to solve this problem, the method we 6 Journal of Robotics Among them, H (X) represents the information stake of scale=“small and medium-sized,” and the enterprise attribute set meaning’, and P (X) represents the occurrence type II is “domestic-funded enterprise,” then there probability of attribute X. have been many records of violations of laws and Information gain is also known as information But the disciplines in the year difference, is relatively inflammatory (relative entropy). In (2) If the industry category=“wholesale and retail in- the view of probability and information theory, the signal dustry” and the area 2 is “Wuhua District,” the gain is asymmetric, and its purpose is mainly to detect the enterprise size is “small” or “small and medium- difference between two different probability distributions. sized,” and the enterprise type=“individual indus- (e main index of information gain is the amount of energy trial and commercial households,” then there are information contained in each feature in the process of many records of violations of laws and disciplines in statistical analysis. (e greater the number of attributes, the the year. greater the contribution to classification and the higher the (3) If the industry category=“service industry” and the information gain, and vice versa, the smaller the information second district is “Panlong District” and the enter- gain. prise scale=“small-scale” or “small and medium- Information gain tends to be a large number of data sized,” and the SME type 2 is “individual industrial attributes, but they have little effect on classification. and commercial households,” there are many illegal (erefore, the data gain rate was introduced in the latest law enforcement records in this year. classification method. (e information gain value refers to (4) If the industry category=“financial industry” and the total amount of information contained in the unit at- the area=“Panlong District,” and the enterprise tribute. Although the information gain refers to the uni- scale=“small and medium-sized” or “large,” and the formity of the information value, it cannot simply compare enterprise type=“foreign-funded enterprise” or the total amount of information. “domestic-funded enterprise,” then there are few Suppose there are m categories in the sample data set S, annual records of violations of laws and disciplines. which are as follows: (ere are many technologies that can improve the de- S � C , C , C , . . . , C . (3) 1 2 3 m cision tree problem, such as discrete attribute values and It is one of the attributes of systems V, which can divide fixed intervals, multivalue deviation optimization based on attribute criteria, and optimal filling of vacant attributes. the data set into several subsets, and each attribute has k different characteristic values. (is paper is based on the data features and mining pro- (e probability of occurrence for category Cj is given as cesses of industrial and commercial systems and realizes the system design through the feature selection criteria in C4. In follows: the five operations, the message gain or message gain value of each characteristic must be counted, and the largest one (4) P C � . |S| must be selected as the node characteristic. As can be seen from equations (8) and (9), the value of the category in- Occurrence probability of attribute V �Vi is given as formation of the data sample is fixed, and in order to make follows: the information gain larger, the information (, that is, the abstract category condition information) is required. (5) P V � . |S| m S S ij ij InfoS � − log . (8) j Among the samples with attribute V �Vi, the probability S S i�1 j j of containing samples of class Cj is given as follows: After the dataset is divided by attribute V, its category C C , S j ij j conditional information entropy is (6) P � � freq . V S S i i j E(V) � Info � (9) InfoS . (e calculation formula of category information abstract |S| j�1 is given as follows: After introducing the user attention, the product of the Info(C) � − PC log PC . j 2 j (7) category condition information entropy and the user at- tention are taken as the new information entropy, so we can From this decision tree, some classification rules can be get the equation as follows: obtained as follows: E (V) � −σ InfoS . (10) (1) If the industry category=“construction industry” |S| j�1 and the area is “Guandu District,” the enterprise Journal of Robotics 7 Table 2: Performance comparison of C4.5 algorithm before and after improvement. Algorithm operation Number of valid classification Number of invalid classification Efficiency time(ms) rules rules (%) Original C4.5 10 124 17 87.9 algorithm Improved C4.5 10 138 3 97.9 algorithm It is obvious that in the business management data, the 7% 3% improved C4.5 algorithms have better mining efficiency. In addition, it can also be found in Table 2 that, like the original algorithm, the improved C4.5 algorithms have no difference in execution time, and the validity of mining results is also 50% significantly improved. (erefore, after testing and confir- 39% mation, the improved C4.5 algorithms are obviously better than the original C4.5 algorithm. 1% 4. Experimental Results and Analysis Individual industrial and According to the distribution model constructed in this commercial households paper, the optimal logistics distribution path is simulated agricultural cooperative Private Enterprise using a 1.4GHz quad-core Intel Corei5 with a running Foreign companies memory of 8GB, and the simulation platform is MAT- state-owned enterprise LAB2020a. (e simulation process and market composition are shown in Figure 4 . Figure 4: Statistical chart of business administration data: com- position and distribution of market players. (is paper uses the customer point scale of 50 as an example, assuming that a distribution center has 25 dis- tribution vehicles, the number of subjects to be served is 50, the maximum load of no logistics vehicle is 20t, and the 6000 consumption cost is 500 yuan/day/vehicle. (e earliest time of the logistics distribution service is at 6:00 in the morning and the latest is at 8:00. (e maximum working time of logistics personnel is 8hours, and overtime pay will be provided for more than 8hours. According to customer needs, the delivery time is set, and penalties will be incurred 1000 whether overtime or in advance. 10 20 30 40 50 60 70 80 90 100 In order to verify whether the method designed in this number of iterations paper is effective, the traditional planning method is com- pared with the planning method designed in this paper. The optimal path planned in this paper When the number of customers is 25, the path change is The optimal path planned by traditional methods shown in Figure 5. Figure 5: (e path change diagram of the two methods. As shown in Figure 5, the traditional method has the optimal path when the number of iterations is 80, while the planning method designed in this paper achieves the optimal path when the number of iterations is 20. Compared with the traditional method, the method designed in this paper is significantly less time-consuming. Based on this, when the 8000 client is 50, the path changes as shown in Figure 6. As shown in Figure 6, when the number of customers reaches 50, the traditional method achieves the optimal path when the number of iterations is 90. (e planning method designed in this paper achieves the optimal path when the 10 20 30 40 50 60 70 80 90 100 number of iterations is 60. It can be seen that no matter number of iterations whether the number of customers is large or small, the The optimal path planned in this paper method designed in this paper can reduce the time in the The optimal path planned by traditional methods process of optimal path planning and then achieve the goal of optimal path planning, which is in line with the research Figure 6: (e path change diagram is improved by the two purpose of this paper. methods. distance distance 8 Journal of Robotics Table 3: Discretization of enterprise types. Enterprise type name Discretized value Individual business 0 Domestic company 1 Domestic subsidiaries 1 Domestic enterprise legal person 1 Domestic enterprise group 1 Private company 2 Private branch 2 Sole proprietorship 2 Enterprise of individual partnership 2 Private enterprise group 2 Foreign funded enterprise group 3 Foreign-invested enterprise 3 Resident representative offices of foreign (regional) enterprises 3 Branches of foreign-funded enterprises 3 Foreign invested cooperative enterprise 3 Consumer goods market 4 Capital goods market 4 Production factor market 4 Table 4: Grade transformation of enterprise scale. Number of employees (E) and total assets (M) Enterprise scalejavascript: void (0) 0< E<20 and 0< M<300 1 20< E<300 and 300< M<4000 2 300< E<1000 and 4000< M<40000 3 E>1000 and M>40000 4 Table 5: Hot modules of Supply Chain Management Research. Hot topics Cluster label Concept and theory development #1 sustainability,#4 green supply chain management, #9 green supply chain Practice and measurement indicators #7 reverse logistics,#5 carbon emissions Drivers and barriers #0 barriers,#10 environmental management Cooperation with supply chain partners #3 green supplier selection,#6 game theory, #8 optimization Performance evaluation #2 food waste, #11 performance measurement In the original data set, some feature data of a sample will minimum-maximum normalization, decimal scaling nor- be lost, and the missing values need to be filled. (e most malization, and zero mean normalization. In the above common method to deal with missing attribute values is to methods, the continuous value is reduced to a fixed range by assign attribute values to attributes in the training instance a certain ratio. relative to the node IV, which is most commonly used. (e (e 12 clusters and their related keywords were com- bined to sort out five research hotspot modules in this field, training result fragments after the generalization of the data set are shown in Figure 3. (is data set will include data from namely concept and theoretical development, practice and 2011 to 2021. Based on the time sequence of the results in the measurement indicators, driving factors and obstacles, co- training set, we will use the results of 2011 and 2021 as the operation with supply chain partners, and performance exercise data, and the results of 2021 as the test data. See evaluation, as shown in Table 5. Table 3. In order to stabilize the status of the industry and give (e data from 2011 and 2021 will be used for training full play to the dominance of the industry, enterprises should data, while the data from 2021 will be used for testing data. integrate network information technology in the process of (e data scale for each year is shown in Table 4. enterprise business management to promote and improve After these operations, the original data obtained is still the overall management level of the enterprise. Enterprises in the processing state of 0.5, which is not intuitive. should pay close attention to the current situation of in- (erefore, in the data mining process, the attribute classi- dustry development, build a high-quality network infor- fications using these data are still very cumbersome. mation and chemical business management environment, (erefore, it is necessary to summarize the original data. 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Journal
Journal of Robotics
– Hindawi Publishing Corporation
Published: Sep 19, 2022
