A New Framework for Addressing Temporal Range Queries and Some Preliminary Results
Abstract
Given a set of n objects, each characterized by d attributes specified at m fixed time instances, we are interested in the problem of designing space efficient indexing structures such that arbitrary temporal range search queries can be handled efficiently. When m = 1, our problem reduces to the d-dimensional orthogonal search problem. We establish efficient data structures to handle several classes of the general problem. Our results include a linear size data structure that enables a query time of O(log n log m/log log n + f) for one-sided queries when d = 1, where f is the number of objects satisfying the query. A similar result is shown for counting queries. We also show that the most general problem can be solved with a polylogarithmic query time using nonlinear space data structures.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 29, 2003
- Accession Number
- AD1006922
Entities
People
- Joseph Jaja
- Qingmin Shi
Organizations
- University of Maryland