作者: Fatih Emekci , Divyakant Agrawal , Amr El Abbadi
DOI: 10.1007/11587552_2
关键词:
摘要: Recent trends in the global economy force competitive enterprises to collaborate with each other analyze markets a better way and make decisions based on that. Therefore, they might want share their data run mining algorithms over union of get more accurate representative results. During this process do not reveal due legal issues competition. However, current systems consider privacy preservation sharing across private sources. To satisfy requirement, we propose distributed middleware, ABACUS, perform intersection, join, aggregation queries multiple warehouses preserving manner. Our analytical evaluations show that ABACUS is efficient scalable.