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Compressed Index for Property Matching

Authors: Hua Zhao; Songfeng Lu;

Compressed Index for Property Matching

Abstract

In this paper, we revisit the Property Matching problem and present a better indexing scheme for the problem. Let T be a text of length n with property p, and P be a pattern of length m, both strings are over a fixed finite alphabet. In particular, the existing data structures all require O(n log n)-bit space, where n is the length of the text. By using compressed suffix array and other supporting data structures, we propose a new index structure for the problem. We discuss the index structure and searching process for the case |p| = O(n/ log n) and |p| = O(n/ log n). Our index only needs nHk(T)+O(n log |S|)-bits and nHk(T)+nH0(A)+O(n(log |S|+log log n)) bits space for the above cases respectively (A is an array with length n here), while needing a little more searching time as return.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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