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Property testing is concerned with the design of super-fast algorithms for the structural analysis of large quantities of data.
The aim is to unveil global features of the data, such as determining whether the data has a particular property or estimating global parameters.
Remarkably, it is possible for decisions to be made by accessing only a small portion of the data.
Property testing focuses on properties and parameters that go beyond simple statistics.
This book provides an extensive and authoritative introduction to property testing.
It provides a wide range of algorithmic techniques for the design and analysis of tests for algebraic properties, properties of Boolean functions, graph properties, and properties of distributions.
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