Description

Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.

Compressed Data Structures for Strings: On Searching and Extracting Strings from Compressed Textual Data

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Hardback by Rossano Venturini

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Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed:... Read more

    Publisher: Atlantis Press (Zeger Karssen)
    Publication Date: 18/11/2013
    ISBN13: 9789462390324, 978-9462390324
    ISBN10: 9462390320

    Number of Pages: 118

    Non Fiction , Computing

    Description

    Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.

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