Chapter 16

Uncertain Data Classification

Reynold Cheng

The University of Hong Kong

Yixiang Fang

The University of Hong Kong

Matthias Renz

University of Munich

16.1 Introduction

In emerging applications such as location-based services (LBS), sensor networks, and biological databases, the values stored in the databases are often uncertain [11, 18, 19, 30]. In an LBS, for example, the location of a person or a vehicle sensed by imperfect GPS hardware may not be exact. This measurement error also occurs in the temperature values obtained by a thermometer, where 24% of measurements are off by more than 0.5°C, or about 36% of the normal temperature range [15]. Sometimes, uncertainty may be injected ...

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