PatZip: Pattern-Preserved Spatial Data Compression

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2005Publisher:Springer Berlin Heidelberg

Authors: Yu Qian; Kang Zhang 0001; Dung T. Huynh;

doi: 10.1007/11430919_84

PatZip: Pattern-Preserved Spatial Data Compression

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Abstract

This paper presents a compression method, PatZip, to improve the efficiency of spatial pattern mining methods. PatZip can avoid overcompression and stop automatically before pattern is destroyed. Compared with existing compression methods, PatZip is deterministic and its result is reproducible, and original data can be easily recovered. The compression process is data-driven and parameter-free, and requires only O(nlogn) time for n data points.

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The University of Texas at Dallas
United States

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