In order to fill the lack of knowledge graph based on real experimental data from Laboratory Information System (LIS) in the field of medical testing, a method and system for constructing medical testing knowledge graph based on LIS is proposed. The problem of how to obtain rich and accurate literature resources of medical specialty from the real world is solved by building a database and tools such as reasoning machine. Using a large number of clinical laboratory specimens as a data source, data mining technology is used to analyze and process the massive information, so as to generate a high-quality visualization of the medical test knowledge graph. Doctors first do some pre-diagnostic preparations for patients, and then conduct a comprehensive and systematic physical examination. By building a medical test knowledge map, we have brought new possibilities for the application scenarios of LIS system.
{"title":"LIS-based Inspection Knowledge Graph Construction System","authors":"Fengyang Fu, Shuangling Sun, Yi Liu","doi":"10.62051/qvbck941","DOIUrl":"https://doi.org/10.62051/qvbck941","url":null,"abstract":"In order to fill the lack of knowledge graph based on real experimental data from Laboratory Information System (LIS) in the field of medical testing, a method and system for constructing medical testing knowledge graph based on LIS is proposed. The problem of how to obtain rich and accurate literature resources of medical specialty from the real world is solved by building a database and tools such as reasoning machine. Using a large number of clinical laboratory specimens as a data source, data mining technology is used to analyze and process the massive information, so as to generate a high-quality visualization of the medical test knowledge graph. Doctors first do some pre-diagnostic preparations for patients, and then conduct a comprehensive and systematic physical examination. By building a medical test knowledge map, we have brought new possibilities for the application scenarios of LIS system.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"15 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The organizing Committee of CII 2023 warmly welcomes you to join the 5th International Conference on Computer Engineering, Information Science and Internet Technology (CII 2023), which was held on November 11-12, 2023 in Sanya, China. On the move towards the 21st century, Computer Engineering, Information Science and Internet Technology are the important tools to solve the global problems, e.g. the energy and environmental problems, as well as to foster the prosperities for a better life. They are created from the simple ideas that make the difference, the ideas that connect the dots of different fields of knowledge. Thus, the objective of this conference is to gather engineers, scientists and innovators to share their new findings and ideas in different fields of knowledge. This is to share their experiences in specific domains as well as across the fields with the aim at provoking emerging innovative ideas and further collaborations. Hopefully, all participants and other interested readers benefit scientifically from the proceedings and also find it stimulating in the process. Lawrence Symons, Xiaoming Zhu Conference Organizing Chair
{"title":"Preface: 5th International Conference on Computer Engineering, Information Science and Internet Technology (CII 2023)","authors":"Lawrence Symons, Xiaoming Zhu","doi":"10.62051/sx9w6f02","DOIUrl":"https://doi.org/10.62051/sx9w6f02","url":null,"abstract":"The organizing Committee of CII 2023 warmly welcomes you to join the 5th International Conference on Computer Engineering, Information Science and Internet Technology (CII 2023), which was held on November 11-12, 2023 in Sanya, China. On the move towards the 21st century, Computer Engineering, Information Science and Internet Technology are the important tools to solve the global problems, e.g. the energy and environmental problems, as well as to foster the prosperities for a better life. They are created from the simple ideas that make the difference, the ideas that connect the dots of different fields of knowledge. Thus, the objective of this conference is to gather engineers, scientists and innovators to share their new findings and ideas in different fields of knowledge. This is to share their experiences in specific domains as well as across the fields with the aim at provoking emerging innovative ideas and further collaborations. Hopefully, all participants and other interested readers benefit scientifically from the proceedings and also find it stimulating in the process. Lawrence Symons, Xiaoming Zhu Conference Organizing Chair","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"14 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the number of Chinese ships rapidly increasing, the available channels for the Automatic Identification System (AIS) are serious congested. This has led to a sharp rise in collision warnings. The maritime communication System is comprehensively updated from AIS to VHF Data Exchange System (VDES) in order to ensure efficient communication of huge scale, high density maritime ships as well as guarantee marine navigation security. In this paper, the new generation marine navigation security communication system based on VDES is studied. Designing communication systems for ships at sea, shore-based base stations and space-based satellites; The two-way data exchange between huge scale, high density ships-to-ships and ship-to-shore by VHF frequency band in nearshore and port areas can promote the development of maritime navigation technology and maritime economic.
{"title":"Research of the New Generation Marine Navigation Security Communication System","authors":"Jingyi Qian, Huilu Zeng, Guowei Yao, Fanwei Kong","doi":"10.62051/vvvtye15","DOIUrl":"https://doi.org/10.62051/vvvtye15","url":null,"abstract":"With the number of Chinese ships rapidly increasing, the available channels for the Automatic Identification System (AIS) are serious congested. This has led to a sharp rise in collision warnings. The maritime communication System is comprehensively updated from AIS to VHF Data Exchange System (VDES) in order to ensure efficient communication of huge scale, high density maritime ships as well as guarantee marine navigation security. In this paper, the new generation marine navigation security communication system based on VDES is studied. Designing communication systems for ships at sea, shore-based base stations and space-based satellites; The two-way data exchange between huge scale, high density ships-to-ships and ship-to-shore by VHF frequency band in nearshore and port areas can promote the development of maritime navigation technology and maritime economic.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"16 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the gradual maturity of autonomous driving technology, efficient fusion and processing of multimodal sensor data has become an important research direction. This study mainly explores the strategy of integrating BEV (Bird's Eye View) vision with LiDAR point cloud data. We evaluated the performance and applicability of each of the three main data fusion methods through in-depth comparison: early fusion, mid-term fusion, and late fusion. First of all, we summarize the working principle and data characteristics of BEV vision and LiDAR, and emphasize their key roles in auto drive system. Then, the theoretical basis and implementation methods of the three fusion strategies were described in detail. The experimental results show that different fusion strategies exhibit their own advantages in different application scenarios and requirements. For example, early fusion performs well in high-precision tasks, but has a high demand for computing resources. And mid-term fusion is more suitable in scenarios with high real-time requirements. Overall, this study provides in-depth insights and practical suggestions on the fusion of BEV vision and LiDAR data in the field of autonomous driving, laying a solid foundation for future research and applications.
{"title":"Comparative Study on BEV Vision and LiDAR Point Cloud Data Fusion Methods","authors":"Junyu Zhou","doi":"10.62051/ww28m534","DOIUrl":"https://doi.org/10.62051/ww28m534","url":null,"abstract":"With the gradual maturity of autonomous driving technology, efficient fusion and processing of multimodal sensor data has become an important research direction. This study mainly explores the strategy of integrating BEV (Bird's Eye View) vision with LiDAR point cloud data. We evaluated the performance and applicability of each of the three main data fusion methods through in-depth comparison: early fusion, mid-term fusion, and late fusion. First of all, we summarize the working principle and data characteristics of BEV vision and LiDAR, and emphasize their key roles in auto drive system. Then, the theoretical basis and implementation methods of the three fusion strategies were described in detail. The experimental results show that different fusion strategies exhibit their own advantages in different application scenarios and requirements. For example, early fusion performs well in high-precision tasks, but has a high demand for computing resources. And mid-term fusion is more suitable in scenarios with high real-time requirements. Overall, this study provides in-depth insights and practical suggestions on the fusion of BEV vision and LiDAR data in the field of autonomous driving, laying a solid foundation for future research and applications.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"44 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Tianjin Port Water Depth Signal Tower is a navigational aid facility that provides tidal level information. In the last century, it made great contributions to the shipping industry of Tianjin Port and played an indispensable role in local flood control work; However, with the improvement of the accuracy of marine radar sounders, the influence of background lights, the increase of surrounding buildings, and the continuous widening and deepening of navigation channels, it is becoming increasingly rare for ship drivers to obtain tidal level information through their eyes or with the help of telescopes. In addition, whether drivers can obtain tidal level information through these methods is also a topic worthy of attention and research.
{"title":"Analysis of Navigation Aid Effectiveness of Tianjin Port Water Depth Signal Tower and Development Protection under New Technical Conditions","authors":"Qiang Guo, Huwei Huo","doi":"10.62051/b9rgpv05","DOIUrl":"https://doi.org/10.62051/b9rgpv05","url":null,"abstract":"The Tianjin Port Water Depth Signal Tower is a navigational aid facility that provides tidal level information. In the last century, it made great contributions to the shipping industry of Tianjin Port and played an indispensable role in local flood control work; However, with the improvement of the accuracy of marine radar sounders, the influence of background lights, the increase of surrounding buildings, and the continuous widening and deepening of navigation channels, it is becoming increasingly rare for ship drivers to obtain tidal level information through their eyes or with the help of telescopes. In addition, whether drivers can obtain tidal level information through these methods is also a topic worthy of attention and research.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the definition of overlap rate is deduced so as to clarify the influence of overlap rate between the horizontal plane and the slope on the multibeam line measurement problem, and the artificial correction is calculated by taking the average value of the coverage widths of the two times before and after. The expressions for the coverage widths of different lines and their corresponding water depths, slope inclination angles, and transducer opening angles are derived from the functional relationship by combining numerical and morphological methods. The resulting expression of the coverage width W was corrected, averaged and brought into the definition of the overlap rate, resulting in the final expression to calculate the corresponding value, and the resolution and accuracy of the data results were high.
本文推导了重叠率的定义，从而明确了水平面与斜面重叠率对多波束测线问题的影响，并通过取前后两次覆盖宽度的平均值计算出人工修正值。结合数值方法和形态学方法，根据函数关系推导出不同测线的覆盖宽度及其对应的水深、斜坡倾角和换能器开角的表达式。得出的覆盖宽度 W 的表达式经过校正、求平均值后带入重叠率的定义中，最终得出计算相应值的表达式，数据结果的分辨率和准确度较高。
{"title":"Study and Application of Optimization Model on Survey Line under Multibeam Bathymetric System","authors":"Lincheng Ni","doi":"10.62051/qz4ejr94","DOIUrl":"https://doi.org/10.62051/qz4ejr94","url":null,"abstract":"In this paper, the definition of overlap rate is deduced so as to clarify the influence of overlap rate between the horizontal plane and the slope on the multibeam line measurement problem, and the artificial correction is calculated by taking the average value of the coverage widths of the two times before and after. The expressions for the coverage widths of different lines and their corresponding water depths, slope inclination angles, and transducer opening angles are derived from the functional relationship by combining numerical and morphological methods. The resulting expression of the coverage width W was corrected, averaged and brought into the definition of the overlap rate, resulting in the final expression to calculate the corresponding value, and the resolution and accuracy of the data results were high.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"8 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rong Hu, Yiting Guo, Yunxia Cheng, Yuzhu Zhang, Shuang Liu
With the rapid development of information technology, the network health community has become an important way of doctor-patient communication in the new era. As the starting point of the doctor-patient communication process, patient information needs are an important basis for conducting information communication research in online health communities. In this study, we take the question data of medical patients in the "ask and answer" community from the website called "xunyiwenyao" in 2022 as samples, and the TF-IDF algorithm was applied to draw word cloud map to reveal the hot spots of patient information demand in the secondary department, apply the BTM toic model to identify the information demand topic of patients in the network health community, and extract the information demand preferences of internal medicine patients. The study found that users of patients in online health communities pay more attention to the causes and countermeasures of initial symptoms and uncomfortable symptoms, and prefer to obtain relevant information about the efficacy and side effects of medical products.
{"title":"Research on Patient Information Demand Preference in Network Health Community based on TF-IDF Algorithm and BTM Model","authors":"Rong Hu, Yiting Guo, Yunxia Cheng, Yuzhu Zhang, Shuang Liu","doi":"10.62051/n9p3y891","DOIUrl":"https://doi.org/10.62051/n9p3y891","url":null,"abstract":"With the rapid development of information technology, the network health community has become an important way of doctor-patient communication in the new era. As the starting point of the doctor-patient communication process, patient information needs are an important basis for conducting information communication research in online health communities. In this study, we take the question data of medical patients in the \"ask and answer\" community from the website called \"xunyiwenyao\" in 2022 as samples, and the TF-IDF algorithm was applied to draw word cloud map to reveal the hot spots of patient information demand in the secondary department, apply the BTM toic model to identify the information demand topic of patients in the network health community, and extract the information demand preferences of internal medicine patients. The study found that users of patients in online health communities pay more attention to the causes and countermeasures of initial symptoms and uncomfortable symptoms, and prefer to obtain relevant information about the efficacy and side effects of medical products.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"57 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A "color revolution" achieves regime change by attacking the weakest link in society, but once the ratio of each link in society is out of balance, it will cause social deformation and thus affect social stability. To study the factors affecting social stability and avoid "color revolutions", it is necessary to establish an effective social stability index system, and on this basis, to build a social stability coefficient model. To establish a complete social stability index system, this paper selects population, defense science and technology, environment, education, economy, and agriculture after dimensionality reduction. The six indicators were then downscaled to obtain population, national defense, science and technology, environment, education, economy, and agriculture, and the social stability coefficient was classified into five levels from 0 to 1 using the TOPSIS evaluation algorithm, with the higher the level the worse the social stability. Using Spearman and Akaike Causality to test the indicator system, it was found that there was a significant correlation and causality between the stability coefficient and each indicator, and the indicator system was well established. For regions that failed to launch "color revolutions", this paper takes Iran as an example, and after bringing its 44 indicators into the social stability coefficient model in 2018, it comes out that the social stability coefficient of Iran is 0.637, and the social stability level is in the second level of stability to the third level of stability, which is a more stable state at this time. There may be some precursors of social unrest. At the same time, Iran's population development and education level are at a high level, and the general education and knowledge of the Iranian people are high, so the number of people who participate in internal conflicts and revolutions is reduced, which leads to the failure of color revolutions.
{"title":"A \"Colour Revolution\" in Iran? Attack it with a Social Stability Model based on TOPSIS!","authors":"Huijun Bao","doi":"10.62051/9d7cf695","DOIUrl":"https://doi.org/10.62051/9d7cf695","url":null,"abstract":"A \"color revolution\" achieves regime change by attacking the weakest link in society, but once the ratio of each link in society is out of balance, it will cause social deformation and thus affect social stability. To study the factors affecting social stability and avoid \"color revolutions\", it is necessary to establish an effective social stability index system, and on this basis, to build a social stability coefficient model. To establish a complete social stability index system, this paper selects population, defense science and technology, environment, education, economy, and agriculture after dimensionality reduction. The six indicators were then downscaled to obtain population, national defense, science and technology, environment, education, economy, and agriculture, and the social stability coefficient was classified into five levels from 0 to 1 using the TOPSIS evaluation algorithm, with the higher the level the worse the social stability. Using Spearman and Akaike Causality to test the indicator system, it was found that there was a significant correlation and causality between the stability coefficient and each indicator, and the indicator system was well established. For regions that failed to launch \"color revolutions\", this paper takes Iran as an example, and after bringing its 44 indicators into the social stability coefficient model in 2018, it comes out that the social stability coefficient of Iran is 0.637, and the social stability level is in the second level of stability to the third level of stability, which is a more stable state at this time. There may be some precursors of social unrest. At the same time, Iran's population development and education level are at a high level, and the general education and knowledge of the Iranian people are high, so the number of people who participate in internal conflicts and revolutions is reduced, which leads to the failure of color revolutions.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"16 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling method with SRS sampling and SRS-based adaptive group. The difference between the group sampling and the advantages and scope of the PPS adaptive cluster sampling method are analyzed. According to the case analysis, the relevant conclusions are drawn: 1) The adaptive cluster sampling method is more accurate than the SRS sampling; 2) SRS adaptive The HT estimator of the cluster sampling is more stable than the HH estimator; 3) The two estimators of the PPS adaptive cluster sampling method have little difference in the estimation of the population mean, but the HT estimator variance is smaller and more suitable; 4) PPS The HH estimator of adaptive cluster sampling is the same as the HH estimator of SRS adaptive cluster sampling, but the variance is larger and unstable.
{"title":"Research on Adaptive Cluster Sampling Method based on PPS","authors":"Shaohua Wang, Ting Yang, Shengxiang Ouyang","doi":"10.62051/artkb294","DOIUrl":"https://doi.org/10.62051/artkb294","url":null,"abstract":"This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling method with SRS sampling and SRS-based adaptive group. The difference between the group sampling and the advantages and scope of the PPS adaptive cluster sampling method are analyzed. According to the case analysis, the relevant conclusions are drawn: 1) The adaptive cluster sampling method is more accurate than the SRS sampling; 2) SRS adaptive The HT estimator of the cluster sampling is more stable than the HH estimator; 3) The two estimators of the PPS adaptive cluster sampling method have little difference in the estimation of the population mean, but the HT estimator variance is smaller and more suitable; 4) PPS The HH estimator of adaptive cluster sampling is the same as the HH estimator of SRS adaptive cluster sampling, but the variance is larger and unstable.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"57 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous deepening and development of information technology, the diversity and amount of information in data continue to grow. Effectively mining these text data to extract valuable content has become an urgent task in the field of data research. This study combines the MapReduce distributed system with the K-means clustering algorithm to meet the challenges of large-scale data mining. At the same time, the paper use a distributed caching mechanism to solve the problem of repeated application of resources for multiple MapReduce collaborative operations and improve data mining efficiency. The combination of MapReduce's distributed computing and the advantages of K-means clustering algorithm provides an efficient and scalable method for large-scale data mining. Experimental results combining internal and external indicators show that the advantage of combining K-means with MapReduce is to fully utilize the distributed and parallel computing characteristics of MapReduce, providing users with an efficient and scalable data mining tool. Through this research, the paper provide new methods and insights for large-scale data mining, improving the efficiency and accuracy of data mining.
{"title":"Large-scale Data Mining Method based on Clustering Algorithm Combined with MAPREDUCE","authors":"Yulun Zhang, Chenxu Zhang, Lei Yang, Hongyang Li","doi":"10.62051/8p9b3106","DOIUrl":"https://doi.org/10.62051/8p9b3106","url":null,"abstract":"With the continuous deepening and development of information technology, the diversity and amount of information in data continue to grow. Effectively mining these text data to extract valuable content has become an urgent task in the field of data research. This study combines the MapReduce distributed system with the K-means clustering algorithm to meet the challenges of large-scale data mining. At the same time, the paper use a distributed caching mechanism to solve the problem of repeated application of resources for multiple MapReduce collaborative operations and improve data mining efficiency. The combination of MapReduce's distributed computing and the advantages of K-means clustering algorithm provides an efficient and scalable method for large-scale data mining. Experimental results combining internal and external indicators show that the advantage of combining K-means with MapReduce is to fully utilize the distributed and parallel computing characteristics of MapReduce, providing users with an efficient and scalable data mining tool. Through this research, the paper provide new methods and insights for large-scale data mining, improving the efficiency and accuracy of data mining.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"48 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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