BOOK-CHAPTER

Chapter 4: Dealing with Time-Series Outliers

Ronald K. Pearson

Year: 2020 Society for Industrial and Applied Mathematics eBooks Pages: 177-231   Publisher: Society for Industrial and Applied Mathematics

Abstract

The primary distinguishing characteristic of time-series data is that serial correlation plays an essential role. This crucial data characteristic has several important consequences for the problems of defining and dealing with time-series outliers. Three specific differences between time-series outliers and the univariate outliers discussed in Chapter 2 are as follows:

Keywords:
Outlier Univariate Series (stratigraphy) Anomaly detection Time series Computer science Range (aeronautics) Sequence (biology) Data mining Statistics Mathematics Artificial intelligence Multivariate statistics Engineering Geology

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Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing

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