Suffix arrays: a new method for on-line string searches
SIAM Journal on Computing
Randomized algorithms
A comparison of approximate string matching algorithms
Software—Practice & Experience
Maintaining Stream Statistics over Sliding Windows
SIAM Journal on Computing
Rapid identification of repeated patterns in strings, trees and arrays
STOC '72 Proceedings of the fourth annual ACM symposium on Theory of computing
Efficient text fingerprinting via Parikh mapping
Journal of Discrete Algorithms
Efficient randomized pattern-matching algorithms
IBM Journal of Research and Development - Mathematics and computing
Stable distributions, pseudorandom generators, embeddings, and data stream computation
Journal of the ACM (JACM)
Linear work suffix array construction
Journal of the ACM (JACM)
Journal of Discrete Algorithms
Exact and Approximate Pattern Matching in the Streaming Model
FOCS '09 Proceedings of the 2009 50th Annual IEEE Symposium on Foundations of Computer Science
Upper and lower bounds for finding connected motifs in vertex-colored graphs
Journal of Computer and System Sciences
Real-time streaming string-matching
CPM'11 Proceedings of the 22nd annual conference on Combinatorial pattern matching
On Approximate Jumbled Pattern Matching in Strings
Theory of Computing Systems - Special Issue: Fun with Algorithms
Reaction motifs in metabolic networks
WABI'05 Proceedings of the 5th International conference on Algorithms in Bioinformatics
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Let S be a string over an alphabet Σ={σ1, σ2, …}. A Parikh-mapping maps a substring S′ of S to a |Σ|-length vector that contains, in location i of the vector, the count of σi in S′. Parikh matching refers to the problem of finding all substrings of a text T which match to a given input |Σ|-length count vector. In the streaming model one seeks space-efficient algorithms for problems in which there is one pass over the data. We consider Parikh matching in the streaming model. To make this viable we search for substrings whose Parikh-mappings approximately match the input vector. In this paper we present upper and lower bounds on the problem of approximate Parikh matching in the streaming model.