暫存資料庫環境中廣泛進行探索性因果規則之系統設計

We are going to perform a comprehensive exploratory analysis in the staging database environments. Staging database is an intermediate space that collects data from raw data sources like relational Database, and integrates the data for constructing multi-dimension data warehouse, which facilitates decision support tasks. The analytical propose is to calculate comprehensive causal rules. For the purpose of decision support, causal rules have more direct impacts than the popular association rules. Our design aims to generate more focused and interpretable causal factors, in the wide-ranging and complicated environments. The outcomes can be effectively referenced for constructing dimensions of data-warehouse, and they can help forming valuable hypotheses for verification. From the perspective of decision support systems, the main-stream researches often pay attention to perform high precision or high reliability analysis with simplified context. Our proposal can have unique contributions in offering high availability for both practice and academic demands.