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Time Series Indexing

You're reading from   Time Series Indexing Implement iSAX in Python to index time series with confidence

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781838821951
Length 248 pages
Edition 1st Edition
Languages
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Author (1):
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Mihalis Tsoukalos Mihalis Tsoukalos
Author Profile Icon Mihalis Tsoukalos
Mihalis Tsoukalos
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: An Introduction to Time Series and the Required Python Knowledge 2. Chapter 2: Implementing SAX FREE CHAPTER 3. Chapter 3: iSAX – The Required Theory 4. Chapter 4: iSAX – The Implementation 5. Chapter 5: Joining and Comparing iSAX Indexes 6. Chapter 6: Visualizing iSAX Indexes 7. Chapter 7: Using iSAX to Approximate MPdist 8. Chapter 8: Conclusions and Next Steps 9. Index 10. Other Books You May Enjoy

An Introduction to Time Series and the Required Python Knowledge

This is the first chapter of the book that you are reading. Although first chapters usually contain basic information that you might want to skip, this is not such a chapter. It teaches you the basics of time series and indexing, as well as how to set up a proper Python environment, which is going to be used during the development of the code of this book. You might need to refer to it while you are reading other chapters, which is a good thing! So, let us get started!

In this chapter, we are going to cover the following main topics:

  • Understanding time series
  • What is an index and why do we need indexing?
  • The Python knowledge that we are going to need
  • Reading time series from disk
  • Visualizing time series
  • Working with the Matrix Profile
  • Exploring the MPdist distance
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