Efficient Metric Indexing for Similarity Search

2016-06-16 Vistors:187

 

作者:Lu Chen; Yunjun Gao; Xinhan Li;等
来源:One of the Best Papers in ICDE 2015(ICDE 2015优秀论文)
This paper proposes an efficient disk-based metric access method, the Space-filling curve and Pivot-based B+-tree (SPB-tree), to support a wide range of data types and similarity metrics. Moreover, we present efficient similarity search algorithms and corresponding cost models based on the SPB-tree. Extensive experiments with both real and synthetic data show that the SPB-tree has much lower construction cost, smaller storage size, and can support more efficient similarity queries with high accuracy cost models than is the case for competing techniques.
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