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Books > Computing & IT > Computer communications & networking
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Query Processing over Incomplete Databases (Paperback)
Loot Price: R1,484
Discovery Miles 14 840
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Query Processing over Incomplete Databases (Paperback)
Series: Synthesis Lectures on Data Management
Expected to ship within 18 - 22 working days
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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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