Data Analysis Data Flows Complexity Logic Separation
Institute of Information Theories and Applications FOI ITHEA
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.
* The research was supported by INTAS 00-397 and 00-626 Projects.