{"title":"图处理框架回顾","authors":"Siddharth Bhatia, Rajiv Kumar","doi":"10.1109/ICDMW.2018.00144","DOIUrl":null,"url":null,"abstract":"Data and data analysis tools have been increasing at a tremendous rate. Most of the data can be represented as graphs and therefore numerous large scale graph processing frameworks and systems have been proposed. Still, there is a daunting challenge to choose the best platform. We comprehensively survey all these frameworks, provide an in-depth taxonomy of more than 60 tools. We aim to help researchers in academia as well as industry with this work.","PeriodicalId":259600,"journal":{"name":"2018 IEEE International Conference on Data Mining Workshops (ICDMW)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Review of Graph Processing Frameworks\",\"authors\":\"Siddharth Bhatia, Rajiv Kumar\",\"doi\":\"10.1109/ICDMW.2018.00144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data and data analysis tools have been increasing at a tremendous rate. Most of the data can be represented as graphs and therefore numerous large scale graph processing frameworks and systems have been proposed. Still, there is a daunting challenge to choose the best platform. We comprehensively survey all these frameworks, provide an in-depth taxonomy of more than 60 tools. We aim to help researchers in academia as well as industry with this work.\",\"PeriodicalId\":259600,\"journal\":{\"name\":\"2018 IEEE International Conference on Data Mining Workshops (ICDMW)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Data Mining Workshops (ICDMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMW.2018.00144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Data Mining Workshops (ICDMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2018.00144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data and data analysis tools have been increasing at a tremendous rate. Most of the data can be represented as graphs and therefore numerous large scale graph processing frameworks and systems have been proposed. Still, there is a daunting challenge to choose the best platform. We comprehensively survey all these frameworks, provide an in-depth taxonomy of more than 60 tools. We aim to help researchers in academia as well as industry with this work.
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