Details

Autor(en) / Beteiligte

• Gao, Yunjun
• Liu, Qing
• Zheng, Baihua
• Chen, Gang

Titel

On efficient reverse skyline query processing

Ist Teil von

• Expert systems with applications, 2014-06, Vol.41 (7), p.3237-3249

Ort / Verlag

Amsterdam: Elsevier Ltd

Erscheinungsjahr

2014

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •We propose two efficient algorithms for exact RSQ processing.•We use precomputation, reuse, and pruning techniques to boost query performance.•We extend our techniques to tackle a natural variant of RSQ, i.e., CRSQ.•Extensive experiments show that our algorithms outperform RSSA by 2–3 times. Given a D-dimensional data set P and a query point q, a reverse skyline query (RSQ) returns all the data objects in P whose dynamic skyline contains q. It is important for many real life applications such as business planning and environmental monitoring. Currently, the state-of-the-art algorithm for answering the RSQ is the reverse skyline using skyline approximations (RSSA) algorithm, which is based on the precomputed approximations of the skylines. Although RSSA has some desirable features, e.g., applicability to arbitrary data distributions and dimensions, it needs for multiple accesses of the same nodes, incurring redundant I/O and CPU costs. In this paper, we propose several efficient algorithms for exact RSQ processing over multidimensional datasets. Our methods utilize a conventional data-partitioning index (e.g., R-tree) on the dataset P, and employ precomputation, reuse, and pruning techniques to boost the query performance. In addition, we extend our techniques to tackle a natural variant of the RSQ, i.e., constrained reverse skyline query (CRSQ), which retrieves the reverse skyline inside a specified constrained region. Extensive experimental evaluation using both real and synthetic datasets demonstrates that our proposed algorithms outperform RSSA by several orders of magnitude under all experimental settings.