String Processing and Information Retrieval (eBook, PDF)

28th International Symposium, SPIRE 2021, Lille, France, October 4-6, 2021, Proceedings
Redaktion: Lecroq, Thierry; Touzet, Hélène

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.*

The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology.

*The symposium was held virtually.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 255
• Erscheinungstermin: 27. September 2021
• Englisch
• ISBN-13: 9783030866921
• Artikelnr.: 62640981

Inhaltsangabe

Invited papers.- r-indexing the eBWT.- Unicode at Gigabytes per Second.- Combinatorics.- Longest Common Rollercoasters.- Minimal unique palindromic substrings after single-character substitution.- Permutation-constrained Common String Partitions with Applications.- All instantiations of the greedy algorithm for the shortest superstring problem are equivalent.- String Covers of a Tree.- Compression.- Grammar Index By Induced Suffix Sorting.- An LMS-based Grammar Self-index with Local Consistency Properties.- On the approximation ratio of LZ-End to LZ77.- Data Structures.- Computing the original eBWT faster, simpler, and with less memory.- Extracting the Sparse Longest Common Pre x Array from the Suffix Binary Search Tree.- findere: fast and precise approximate membership query.- Repeats.- Improved Topic Modeling in Twitter through Community Pooling.- Lower Bounds for the Number of Repetitions in 2D Strings.- On Stricter Reachable Repetitiveness Measures.- Information Retrieval.- Improved Topic modeling in Twitter through Community Pooling.- TSXor: A Simple Time Series Compression Algorithm.- Pattern Matching.- Exploiting Pseudo-Locality of Interchange Distance.- Position Heaps for Cartesian-tree Matching on Strings and Tries.