A Common Meta-Model for Data Analysis based on DSM

نویسندگان

  • Yvette Teiken
  • Stefan Flöring
چکیده

Realization and usage of advanced decision support systems are cost intensive. They require expert users during data collection and analysis task. Implementing these systems is time consuming and thus costly. This leads to the problem that SMEs (Small and Medium-sized Enterprises) often cannot afford these systems. In this paper we describe our aim of creating a DSM (Domain Specific Modeling) based top-down approach to generate advanced decision support systems. This approach is based on a family of DSLs (Domain Specific Language) that share a common meta-model. With this we aim to establish a faster and more affordable process for data analysis which better fits for SMEs.

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تاریخ انتشار 2008