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High-dimensional databases pose a challenge with respect to efficient access. High-dimensional indexes do not work because of the oft-cited 'curse of dimensionality'. However, users are usually interested in querying data over a relatively small subset of the entire attribute set at a time. A potential solution is to use lower dimensional indexes that accurately represent the user access patterns. Query response using physical database design developed based on a static snapshot of the querydoi:10.1109/tkde.2007.190690 fatcat:q7vx7ktmtncvrgwphmop6js6we