DSAA/BESC Keynote Speeches: BigData, AllData, Old Data: Predictive analytics in a changing data landscape

U. Fayyad
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Abstract

The landscape of the platform, access methodologies, shapes, and storage representations has changed dramatically. Much of the assumptions of a structured data world dominated by relational databases have been rendered obsolete. Today's data analyst faces big challenges and a bewildering environment of technologies and challenges involving semi-structured and unstructured data with access methodologies that have almost no relation to the past. This talk will cover issues and challenges in how to make the benefits of advanced analytics fit within the application environment. The requirement for Real-time data streaming and in situ data mining is stronger than ever. We demonstrate how many of the critical problems remain open with much opportunity for innovative solutions to play a huge enabling role. This opportunity makes Data Science and several related fields critical to almost all future analytical tasks.
DSAA/BESC主题演讲:大数据、全数据、旧数据:数据环境变化中的预测分析
平台的格局、访问方法、形状和存储表示都发生了巨大的变化。由关系数据库主导的结构化数据世界的许多假设已经过时。今天的数据分析师面临着巨大的挑战和令人困惑的技术环境,以及涉及半结构化和非结构化数据的挑战,这些数据的访问方法与过去几乎没有任何关系。本演讲将涵盖如何使高级分析的好处适合应用环境的问题和挑战。对实时数据流和原位数据挖掘的需求比以往任何时候都要强烈。我们展示了许多关键问题仍然存在,创新解决方案有很多机会发挥巨大的促进作用。这个机会使得数据科学和几个相关领域对几乎所有未来的分析任务至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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