Query Processing Over Incomplete by Gao Yunjun (10 results)

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  • Language: English

    Published by Springer, 2018

    3031007352 / 9783031007354

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  • Language: English

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  • Language: English

    Published by Springer, 2018

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  • Language: English

    Published by Springer, 2018

    3031007352 / 9783031007354

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values.Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.

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    Language: English

    Published by Springer, 2018

    3031007352 / 9783031007354

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    Taschenbuch. Condition: Neu. Query Processing over Incomplete Databases | Yunjun Gao (u. a.) | Taschenbuch | Synthesis Lectures on Data Management | xv | Englisch | 2018 | Springer | EAN 9783031007354 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer, 2018

    3031007352 / 9783031007354

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  • Language: English

    Published by Springer, 2018

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  • Language: English

    Published by Springer, 2018

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  • Language: English

    Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2018

    3031007352 / 9783031007354

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms participants choose to ignore sensitive questions on surveys sensors fail, resulting in the loss of certain re.

  • Language: English

    Published by Springer, Palgrave Macmillan Aug 2018, 2018

    3031007352 / 9783031007354

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values.Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.