Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
About this book
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.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Query Processing over Incomplete Databases
Authors: Yunjun Gao, Xiaoye Miao
Series Title: Synthesis Lectures on Data Management
DOI: https://doi.org/10.1007/978-3-031-01863-3
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 8
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-031-00735-4Published: 20 August 2018
eBook ISBN: 978-3-031-01863-3Published: 01 June 2022
Series ISSN: 2153-5418
Series E-ISSN: 2153-5426
Edition Number: 1
Number of Pages: XV, 106
Topics: Information Systems and Communication Service, Data Structures and Information Theory