{"title":"将多维大数据分析付诸实践：在实际生活场景中设计和实施 ClustCube 大数据工具","authors":"Alfredo Cuzzocrea, Abderraouf Hafsaoui, Ismail Benlaredj","doi":"arxiv-2407.18604","DOIUrl":null,"url":null,"abstract":"Multidimensional Big Data Analytics is an emerging area that marries the\ncapabilities of OLAP with modern Big Data Analytics. Essentially, the idea is\nengrafting multidimensional models into Big Data analytics processes to gain\ninto expressive power of the overall discovery task. ClustCube is a\nstate-of-the-art model that combines OLAP and Clustering, thus delving into\npractical and well-understood advantages in the context of real-life\napplications and systems. In this paper, we show how ClustCube can effectively\nand efficiently realizing nice tools for supporting Multidimensional Big Data\nAnalytics, and assess these tools in the context of real-life research\nprojects.","PeriodicalId":501123,"journal":{"name":"arXiv - CS - Databases","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Turning Multidimensional Big Data Analytics into Practice: Design and Implementation of ClustCube Big-Data Tools in Real-Life Scenarios\",\"authors\":\"Alfredo Cuzzocrea, Abderraouf Hafsaoui, Ismail Benlaredj\",\"doi\":\"arxiv-2407.18604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multidimensional Big Data Analytics is an emerging area that marries the\\ncapabilities of OLAP with modern Big Data Analytics. Essentially, the idea is\\nengrafting multidimensional models into Big Data analytics processes to gain\\ninto expressive power of the overall discovery task. ClustCube is a\\nstate-of-the-art model that combines OLAP and Clustering, thus delving into\\npractical and well-understood advantages in the context of real-life\\napplications and systems. In this paper, we show how ClustCube can effectively\\nand efficiently realizing nice tools for supporting Multidimensional Big Data\\nAnalytics, and assess these tools in the context of real-life research\\nprojects.\",\"PeriodicalId\":501123,\"journal\":{\"name\":\"arXiv - CS - Databases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Databases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.18604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Databases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.18604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Turning Multidimensional Big Data Analytics into Practice: Design and Implementation of ClustCube Big-Data Tools in Real-Life Scenarios
Multidimensional Big Data Analytics is an emerging area that marries the
capabilities of OLAP with modern Big Data Analytics. Essentially, the idea is
engrafting multidimensional models into Big Data analytics processes to gain
into expressive power of the overall discovery task. ClustCube is a
state-of-the-art model that combines OLAP and Clustering, thus delving into
practical and well-understood advantages in the context of real-life
applications and systems. In this paper, we show how ClustCube can effectively
and efficiently realizing nice tools for supporting Multidimensional Big Data
Analytics, and assess these tools in the context of real-life research
projects.
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