A substring Q of a string S is called a shortest unique substring (SUS) for interval [s,t] in S, if Q occurs exactly once in S, this occurrence of Q contains interval [s,t], and every substring of S which contains interval [s,t] and is shorter than Q occurs at least twice in S. The SUS problem is, given a string S, to preprocess S so that for any subsequent query interval [s,t] all the SUSs for interval [s,t] can be answered quickly. When s = t, we call the SUSs for [s, t] as point SUSs, and when s <= t, we call the SUSs for [s, t] as interval SUSs. There exist optimal O(n)-time preprocessing scheme which answers queries in optimal O(k) time for both point and interval SUSs, where n is the length of S and k is the number of outputs for a given query. In this paper, we reveal structural, combinatorial properties underlying the SUS problem: Namely, we show that the number of intervals in S that correspond to point SUSs for all query positions in S is less than 1.5n, and show that this is a matching upper and lower bound. Also, we consider the maximum number of intervals in S that correspond to interval SUSs for all query intervals in S.
[1]
Bojian Xu,et al.
On stabbing queries for generalized longest repeat
,
2015,
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[2]
Wing-Kai Hon,et al.
An In-place Framework for Exact and Approximate Shortest Unique Substring Queries
,
2015,
ISAAC.
[3]
Bojian Xu,et al.
Shortest Unique Substring Query Revisited
,
2014,
CPM.
[4]
Kazuya Tsuruta,et al.
Shortest Unique Substrings Queries in Optimal Time
,
2014,
SOFSEM.
[5]
Hideo Bannai,et al.
Shortest Unique Substring Queries on Run-Length Encoded Strings
,
2016,
MFCS.
[6]
Jian Pei,et al.
On shortest unique substring queries
,
2013,
2013 IEEE 29th International Conference on Data Engineering (ICDE).
[7]
Jian Pei,et al.
Shortest Unique Queries on Strings
,
2014,
SPIRE.