Algorithms for Data Flows


Autoria(s): Aslanyan, Levon; Castellanos, Juan; Mingo, Fernando; Sahakyan, Hasmik; Ryazanov, Vladimir
Data(s)

04/01/2010

04/01/2010

2003

Resumo

* The research was supported by INTAS 00-397 and 00-626 Projects.

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.

Identificador

1313-0463

http://hdl.handle.net/10525/949

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Data Analysis #Data Flows #Complexity #Logic Separation
Tipo

Article