{"title":"基于多智能体的超大型数据集智能生成","authors":"Karima Qayumi","doi":"10.1109/IC2E.2015.96","DOIUrl":null,"url":null,"abstract":"The spread of computing Clouds and block-chain technology enable a trend towards highly decentralized and distributed management of potentially very large datasets. Existing big data-mining systems are not designed for this nextlevel scale of distribution and decentralization. Additionally, the required system scalability is currently not given for very large datasets. We aim at solving these problems with a scalable distributed multi-agent system based approach.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Multi-agent Based Intelligence Generation from Very Large Datasets\",\"authors\":\"Karima Qayumi\",\"doi\":\"10.1109/IC2E.2015.96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The spread of computing Clouds and block-chain technology enable a trend towards highly decentralized and distributed management of potentially very large datasets. Existing big data-mining systems are not designed for this nextlevel scale of distribution and decentralization. Additionally, the required system scalability is currently not given for very large datasets. We aim at solving these problems with a scalable distributed multi-agent system based approach.\",\"PeriodicalId\":395715,\"journal\":{\"name\":\"2015 IEEE International Conference on Cloud Engineering\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Cloud Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC2E.2015.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Cloud Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2E.2015.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-agent Based Intelligence Generation from Very Large Datasets
The spread of computing Clouds and block-chain technology enable a trend towards highly decentralized and distributed management of potentially very large datasets. Existing big data-mining systems are not designed for this nextlevel scale of distribution and decentralization. Additionally, the required system scalability is currently not given for very large datasets. We aim at solving these problems with a scalable distributed multi-agent system based approach.
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