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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/949

Title: Algorithms for Data Flows
Authors: Aslanyan, Levon
Castellanos, Juan
Mingo, Fernando
Sahakyan, Hasmik
Ryazanov, Vladimir
Keywords: Data Analysis
Data Flows
Complexity
Logic Separation
Issue Date: 2003
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: 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.
Description: * The research was supported by INTAS 00-397 and 00-626 Projects.
URI: http://hdl.handle.net/10525/949
ISSN: 1313-0463
Appears in Collections:Volume 10 Number 3

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