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Department of Computer Science

University of California, Santa Barbara

Abstract

Efficient Processing of Conical Queries

by: Hakan Ferhatosmanoglu, Divyakant Agrawal, Amr El Abbadi

Abstract:

Conical queries are a novel type of query with an increasing number ofapplications. Traditional index structures and retrieval mechanisms,in general, have been optimized for rectangular and circular queries,rather than conical queries. In this paper, we focus on conicalqueries which can be defined as a multi-dimensional cone in amulti-dimensional data space. We develop a model for expressing suchqueries and suggest efficient techniques for evaluating them. Inparticular, we explore the retrieval problem in the context of conicalquery processing and develop multi-disk allocation methodsspecifically for processing conical queries.

Keywords:

conical queries, cosine similarity, I/O cost, document databases

Date:

January 2001

Document: 2001-02

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