Effectively Indexing the Uncertain Space

Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang, Qianlu Lin
2010 IEEE Transactions on Knowledge and Data Engineering  
With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulated everyday. Recently, considerable research efforts have been made in the field of indexing, analyzing, and mining uncertain data. As shown in a recent book [2] on uncertain data, in order to efficiently manage and mine uncertain data, effective indexing techniques are highly desirable. Based on the observation that the
more » ... existing index structures for multidimensional data are sensitive to the size or shape of uncertain regions of uncertain objects and the queries, in this paper, we introduce a novel R-Tree-based inverted index structure, named UI-Tree, to efficiently support various queries including range queries, similarity joins, and their size estimation, as well as top-k range query, over multidimensional uncertain objects against continuous or discrete cases. Comprehensive experiments are conducted on both real data and synthetic data to demonstrate the efficiency of our techniques.
doi:10.1109/tkde.2010.77 fatcat:obipmtalkze55f557pqbzotgsu