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Uncertainty Modeling for Data Mining pp 1–12Cite as

Introduction

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Part of the book series: Advanced Topics in Science and Technology in China ((ATSTC))

Abstract

Our nature is uncertain. Given this fact, there are two main streams of philosophy to understand uncertainty. First, the nature is incomplete and is full of uncertainties. Uncertainty is an objective and undeniable fact of nature. The second stream implies that the nature is governed by orders and laws. However, we cannot perceive all these laws from our limited cognitive abilities. That is where the uncertainties come from. The existence of uncertainty is because of the lack of information. Following these two streams of philosophy, uncertainty can be roughly classified into the following two categories

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Authors and Affiliations

  1. Intelligent Computing and Machine Learning Lab, School of ASEE, Beihang University, Beijing, China

    Prof. Zengchang Qin

  2. College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China

    Prof. Yongchuan Tang

Authors
  1. Prof. Zengchang Qin
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  2. Prof. Yongchuan Tang
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© 2014 Zhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg

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Qin, Z., Tang, Y. (2014). Introduction. In: Uncertainty Modeling for Data Mining. Advanced Topics in Science and Technology in China. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41251-6_1

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  • DOI: https://doi.org/10.1007/978-3-642-41251-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41250-9

  • Online ISBN: 978-3-642-41251-6

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