{"title":"数据分析的多智能体系统分析","authors":"Yuleisy González Pérez, I. Kholod","doi":"10.1109/SCM50615.2020.9198765","DOIUrl":null,"url":null,"abstract":"Agents are an important part of solving many current problems in distributed computing, including complexity and information overload. There is a need to integrate multiagent technology and data mining to counter the growth of heterogeneous and distributed data sources. This article describes the main concepts: agents, data mining, and analyzes the possibilities of their integration. A comparative analysis of existing data mining systems based on multiagent systems is also provided.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Multiagent System for Data Analysis\",\"authors\":\"Yuleisy González Pérez, I. Kholod\",\"doi\":\"10.1109/SCM50615.2020.9198765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agents are an important part of solving many current problems in distributed computing, including complexity and information overload. There is a need to integrate multiagent technology and data mining to counter the growth of heterogeneous and distributed data sources. This article describes the main concepts: agents, data mining, and analyzes the possibilities of their integration. A comparative analysis of existing data mining systems based on multiagent systems is also provided.\",\"PeriodicalId\":169458,\"journal\":{\"name\":\"2020 XXIII International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 XXIII International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM50615.2020.9198765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM50615.2020.9198765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Agents are an important part of solving many current problems in distributed computing, including complexity and information overload. There is a need to integrate multiagent technology and data mining to counter the growth of heterogeneous and distributed data sources. This article describes the main concepts: agents, data mining, and analyzes the possibilities of their integration. A comparative analysis of existing data mining systems based on multiagent systems is also provided.