Data mining technologies and image processing: theory and applications

Project Information

Grant agreement ID: INTAS-2000-00397

Project closed

Start date 1 September 2001

End date 31 August 2004

Funded under

• International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993-

Total cost No data

EU contribution € 120 000,00

Coordinated by

Lappeenranta University of Technology(LUT)
Finland

Objective

The Data Mining techniques when are applied to complicated samples of rough information (long vector time series, images, spatial flows) demand overall adaptation to new conditions as well as further development of the information-theoretical background and programming technologies. In such a case important advantages consist of contemporary results achieved in related sub areas of traditional exploratory fields - pattern recognition and classification theory, discrete analysis, neural networks, clustering, statistics, optimisation, and some other fields of data analysis and processing. The aim of this project is to develop the theoretical basis for creating new algorithmic technologies of data mining and automatic reasoning, that include processes of archiving/retrieval of complicated data, and intelligent support of extraction of intrinsic knowledge from large and rough samples. The practical goal is the development of prototype smart systems with real applications, particularly, in GIS data management, Web surf services, and intellectual access to rough data from Web resources. The way to obtain a global result is to follow the cooperation of algorithms of data representation in adequate structures, and procedures of analysis and reasoning gauged to selected types of structures.

Basic types of structures are related here to logical regularities, set permutation codes, and complex nonlinear dependencies (CR2, CR3 teams), to Wold coordinates (CR5 team), pyramidal networks (CR4 team), specialized neuron nets (CO and CR1 teams). The CR2 and CR1 teams keep good experience in natural resource management having access to huge data amounts (Russian and European banks). The previous systems (e.g. LOREG and Taxon-Search) on pattern recognition and data analysis will be further developed to handle with new types of data and new forms of representation. The main potential of consortium is the complementary sum of exclusive theoretical know-how and rich practical experience in all mentioned above exploratory and applied fields.

Programme(s)

• IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993-

Topic(s)

• 2 - Mathematics, Telecommunications, Information Technologies
• INFO - INFO : Information

Call for proposal

Data not available

Funding Scheme

Data not available

Coordinator

Lappeenranta University of Technology(LUT)

• EU contribution: No data
• Address: Skinnarilankatu 34 ; 53851 Lappeenranta ; Finland
• Total cost: No data

Participants (5)

Center "Information Society Technologies"

Armenia

• EU contribution: No data
• Address: P.Sevak 1 ; 375014 Erevan
• Total cost: No data

M.V. Lomonosov Moscow State University

Russia

• EU contribution: No data
• Address: Vorobjovy Gory ; 119899 Moscow
• Total cost: No data

National Academy of Sciences of Belarus

Belarus

• EU contribution: No data
• Address: Academicheskaja 25 ; 220072 Minsk
• Total cost: No data

National Academy of Sciences of Ukraine

Ukraine

• EU contribution: No data
• Address: Prospect Akademika Glushkova, 40 ; 03680 Kiev
• Total cost: No data

National Institute for Research and Development in Informatics

Romania

• EU contribution: No data
• Address: 03680 Bucharest
• Total cost: No data