By Edleno Moura, Maxime Crochemore
This publication constitutes the court cases of the twenty first overseas Symposium on String Processing and knowledge Retrieval, SPIRE 2014, held in Ouro Preto, Brazil, in October 2014. The 20 complete and six brief papers incorporated during this quantity have been rigorously reviewed and chosen from forty five submissions. The papers concentration not just on basic algorithms in string processing and data retrieval, yet tackle additionally software parts comparable to computational biology, internet mining and recommender structures. they're equipped in topical sections on compression, indexing, genome and similar themes, sequences and strings, seek, in addition to on mining and recommending.
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Extra info for String Processing and Information Retrieval: 21st International Symposium, SPIRE 2014, Ouro Preto, Brazil, October 20-22, 2014. Proceedings
6. 3 200 400 600 800 1000 MB 1200 1400 1600 Fig. 7. Quality of our approximate top-k solution, as a function of the preﬁx size of TodoCL in MB, for words (left) and phrases of 2 words (right) 5 Conclusions We have introduced a top-k retrieval index for general string collections, based on Lempel-Ziv compression. The index is orders of magnitude faster, and uses much less space, than previous work. In exchange, it delivers approximate top-k answers, which is acceptable in most applications. We analytically show that, under reasonable assumptions on the text distribution, the answers tend to exactness asymptotically, when the collection is large enough compared to the pattern length.
Springer, Heidelberg (2012) 44 G. Navarro and A. Ord´ on ˜ez 13. : The wavelet matrix: An eﬃcient wavelet tree for large alphabets. Information Systems (to appear, 2014) 14. : LZ77-based self-indexing with faster pattern matching. , Viola, A. ) LATIN 2014. LNCS, vol. 8392, pp. 731–742. Springer, Heidelberg (2014) 15.
C Springer International Publishing Switzerland 2014 32 G. Navarro and A. Ord´ on ˜ez compressed WT, do not take a proper advantage of the repetitiveness , which is crucial to reduce the size of those usually huge datasets by orders of magnitude. Grammar- and Lempel-Ziv-based compressors are very eﬃcient at handling repetitive sequences. However, even supporting operation access is diﬃcult on them. Let S[1, n] be compressible into a grammar of size r, so that a grammarbased compressor uses r lg(r + σ) bits.
String Processing and Information Retrieval: 21st International Symposium, SPIRE 2014, Ouro Preto, Brazil, October 20-22, 2014. Proceedings by Edleno Moura, Maxime Crochemore