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Compressed Data Structures for Strings

On Searching and Extracting Strings from Compressed Textual Data

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Hardback
18 November 2013
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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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    Product Details
    ISBN-13
    9789462390324
    Author
    Rossano Venturini
    Publisher
    Springer Nature B.V.
    Published
    18 November 2013
    Format
    Hardback

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    $121.54
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Compressed Data Structures for Strings

    $121.54

    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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