Algorithms for Data Flows
Data(s) |
04/01/2010
04/01/2010
2003
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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 |
Idioma(s) |
en |
Publicador |
Institute of Information Theories and Applications FOI ITHEA |
Palavras-Chave | #Data Analysis #Data Flows #Complexity #Logic Separation |
Tipo |
Article |