Abstract: Inductive modelling tools are widely used for solving problems of analysing economical, ecological, and other processes. Development of business intelligence systems based on inductive modelling algorithms for analysis, modelling, forecasting, classification, and clustering of complex processes is very promising. When solving real tasks of model construction from statistical data, the question of storage of and providing effective access to the information arises. At the stage of input data processing there are typical difficulties with processing data in different formats as well as containing omissions and untypically small or big values etc. From the other side, the question of output information storage exists like determination of structure and parameters of models, estimation of precision and validity, plots and diagrams drawing etc. This would allow structuring input data of different types and using the information already existing in database and also provide the storage of complete information on experiments and results of calculations. To solve such kind of problems, the integrated environment for storing and handling information is developed. Architecture of the environment is offered giving the possibilities to manipulate present information freely using relational database containing only metadata and storing input statistical data and output results of calculations.

Keywords: integrated environment, handling and storing information, inductive modeling, GMDH-algorithms, Business Intelligence

ACM Classification Keywords: H.2.8 Data Base Application – Data Mining

Link:

INTEGRATED ENVIRONMENT FOR STORING AND HANDLING INFORMATION IN TASKS OF INDUCTIVE MODELLING FOR BUSINESS INTELLIGENCE SYSTEMS

Nataliya Shcherbakova, Volodymyr Stepashko

http://www.foibg.com/ibs_isc/ibs-26/ibs-26-p15.pdf