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Algorithms for Data Flows

机译:数据流算法

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摘要

Data analysis is a regular massif task of applied sciences and businesses. A huge number of algorithms were developed for different kinds of data and for particular types of data analysis. Traditional theories work with traditional databases and data structures, although the paradigm of Internet doesn't want to wait, requiring novel technologies, able to work effectively with huge amounts of data, with data flows and uncertainties. The two current research projects, INTAS 397 and 626 are devoted to development of these issues. The paper gives the general statement, current results and examples of these researches.
机译:数据分析是应用科学和商业的常规地块任务。针对不同种类的数据和特定类型的数据分析开发了大量算法。传统理论适用于传统数据库和数据结构,尽管Internet范式不想等待,需要新颖的技术,能够有效处理大量数据,数据流和不确定性。当前的两个研究项目INTAS 397和626致力于解决这些问题。本文给出了一般性陈述,当前结果和这些研究的实例。

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