Enterprise applications are analyzing ever larger amounts of data using advanced analytics techniques. Recent systems from Oracle, IBM, and SAP integrate R with a data processing system to support richer advanced analytics on large data. A key step in advanced analytics applications is feature selection, which is often an iterative process that involves statistical algorithms and data manipulat...

The article shows that functioning of big companies is usually connected with accomplishing a great deal various projects, whose management requires such tools give an opportunity to organize project work. It recommended integrate systems decision-making support operating at the enterprise, which can increase speed data processing, search for alternative decisions and their impact on management...

Enterprise business applications are critical to the smooth operation of modern businesses. They need to perform and scale up to the ever-increasing demands of modern businesses on IT, and are implemented using distributed architectures. These applications tend to have a long life during which they need to quickly respond to changing business rules, business processes and technology platforms. ...

This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring. Using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the Science direct onli...

The purpose of the work was to generalize approaches used in creating maps business processes at agro-industrial complex enterprises and possibility structural-branch formation a model sequential visualization stages all types for main auxiliary production these organizations. Methods included analysis synthesis, induction deduction, abstract-logical statistical methods, fundamentals scientific...