IJBIDM puts a heavy emphasis on new data analysis architectures, methodologies, and techniques and their applications in business. IJBIDM publishes original research results, surveys and tutorials of important areas and techniques, detailed descriptions of significant applications, technical advances and news items concerning use of intelligent data analysis technique in business applications. Advances in data gathering, distribution and analysis have also created a need for an application of intelligent data analysis techniques to solve business modelling problems. It is intended to be the premier technical publication in the field, providing a resource collection relevant common methods and techniques and a forum for unifying the diverse constituent research communities in business intelligence and intelligent data analysis. IJBIDM aims to stimulate the exchange of ideas and interaction between these related fields of interest. Business intelligence and data analysis systems and toolsīusiness intelligence and data mining share many common issues.Human-computer interaction in intelligence data analysis.commerce, engineering, finance, manufacturing, science) Classification, projection, regression, optimisation clustering.Exploratory and automated data analysis.Bayesian inference, bootstrap and randomisation.Fuzzy, neural, and evolutionary approaches.Business intelligence cycle, and model specification/selection/estimation.
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