Program-information support of water biological resources research in the Atlantic Ocean

Abstract

Water biological resources research in the Atlantic Ocean requires corresponding informational software. It is based on data bases usage that contain the results of many years exploring and software that automates their collecting, handling, analyses and storage. Data bases include fishery and biological, hydrological and hydro-biological information about water biological resources and their natural environment. For this data handling, analyses and visualization the information and reference systems (IRS), geographic information systems (GIS) are created and applied. The efficiency growth of water biological resources researches is possible thanks to the automated decision support system creation that integrates knowledge bases, IRS, GIS and uses data mining methods. The efficiency growth of water biological resources researches is possible thanks to the automated decision support system creation that integrates knowledge bases, IRS, GIS and uses data mining methods. Nowadays several methods of data mining are used in the automated decision support system that is being developed in AtlantNIRO, among them there are the following effective ones: decision trees building and association rules finding.