Indexing the Edges - A Simple and Yet Efficient Approach to High-Dimensional Indexing

In this paper, we propose a new tunable index scheme, called iMinMax, that maps points in high dimensional spaces to single dimension values determined by their maximum or minimum values among all dimensions. By varying the tuning knob" , we can obtain di erent family of iMinMax structures that are optimized for di erent distributions of data sets. For a d-dimensional space, a range query need to be transformed into d subqueries. However, some of these subqueries can be pruned away without evaluation, further enhancing the e ciency of the scheme. Experimental results show that iMinMax can outperform the more complex Pyramid technique by a wide margin.

• Type: Conference
• Year: 2000
• Where: PODS
• Authors: Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Stéphane Bressan
• Keywords: Database, Di Erent Distributions, PODS 2000, Single Dimension Values, Tunable Index Scheme