INforE: Interactive Cross-platform Analytics for Everyone
作者： Nikos Giatrakos , David Arnu , Theodoros Bitsakis , Antonios Deligiannakis , Minos Garofalakis
关键词: Big data 、 Interactivity 、 Scale (chemistry) 、 Analytics 、 Workflow 、 Computer science 、 Cross-platform 、 Multimedia 、 Streaming data 、 Data stream mining
摘要: We present INforE, a prototype supporting non-expert programmers in performing optimized, cross-platform, streaming analytics at scale. INforE offers: a) new extension to the RapidMiner Studio for graphical design of Big Data workflows, (b) novel optimizer instruct execution workflows across platforms and clusters, (c) synopses data engine interactivity scale via use summaries, (d) distributed, online mining machine learning module. To our knowledge is first holistic approach settings. demonstrate fields life science financial analysis.
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