{"title":"基于参与者的物联网分布式数据挖掘","authors":"I. Kholod, Mikhail Kuprianov, I. Petukhov","doi":"10.1109/MECO.2016.7525698","DOIUrl":null,"url":null,"abstract":"The paper discusses an approach for distributed execution of data mining algorithms based on the actors model and the concept of the Internet of Things. The suggested approach allows us to decompose data mining algorithms into actors and execute them in the distributed environment. It provides data analysis both in centralized systems (cloud computing) and in distributed systems (fog computing) for IoT.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Distributed data mining based on actors for Internet of Things\",\"authors\":\"I. Kholod, Mikhail Kuprianov, I. Petukhov\",\"doi\":\"10.1109/MECO.2016.7525698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper discusses an approach for distributed execution of data mining algorithms based on the actors model and the concept of the Internet of Things. The suggested approach allows us to decompose data mining algorithms into actors and execute them in the distributed environment. It provides data analysis both in centralized systems (cloud computing) and in distributed systems (fog computing) for IoT.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed data mining based on actors for Internet of Things
The paper discusses an approach for distributed execution of data mining algorithms based on the actors model and the concept of the Internet of Things. The suggested approach allows us to decompose data mining algorithms into actors and execute them in the distributed environment. It provides data analysis both in centralized systems (cloud computing) and in distributed systems (fog computing) for IoT.