basportable.blogg.se - Data mining for business analytics

IJBIDM also publishes best papers from international conferences in the areas relevant to the journal. Special issues are devoted to current issues in business intelligence and techniques. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. IJBIDM is devoted to the publications of high quality papers on theoretical developments and practical applications in business intelligence, data analysis and data mining. Readers will have the opportunity to learn future direction in business intelligence and data mining Readers will be able to learn established knowledge in data analysis techniques through comprehensive survey articles. Readers will be well informed of the latest development in research and practice in intelligent data analysis and data mining and its applications in business problems. This journal provides a vehicle to help business analysts and IT professionals to disseminate information and to learn from each other's work. IJBIDM is targeted at academic, researchers, and IT professionals. IJBIDM provides a forum for the examination of issues related to the research and applications of intelligent data analysis in business. 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.