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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

Visualizing an iSAX index

In this section, we are going to begin visualizing iSAX indexes.

As in most areas of computing, your visualizations are going to improve over time. The first visualizations are usually less beautiful and/or informative than later ones. So, we are going to experiment and try things before we end up with a good-looking iSAX visualization.

As visualizations include personal taste, your visualization of choice might differ from the ones used in this chapter. However, we need to start doing and improve in the process!

Let us begin with the visualization of the next subsection.

A personal story

At the time of writing this book, I am doing research related to iSAX. In one of my experiments, I ran a utility that creates two iSAX indexes and joins them in a more sophisticated way than the one presented in Chapter 5. The utility processed 2 time series with 500,000 elements each and ran for more than 18 days! Additionally, it took the same utility about...

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