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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

Trying something radical

In this section, we are going to try a different kind of visualization for visualizing an iSAX index, just in case it reveals any extra kind of information. So, we are going to use a Radial Tree structure instead of a regular tree. For that, we need to go to the TreeRadialTidy directory inside the ch06 directory and replace the JSON file found in the files directory with 100k.json – the correct file is already there. However, if you want to use your own data, you should update that file.

Next, we should run the Python HTTP server and point our web browser to http://localhost:8000/. The generated output is presented in Figure 6.5:

Figure 6.5 – Using a Radial Tree structure

Figure 6.5 – Using a Radial Tree structure

What kind of information can we get from Figure 6.5? Is that better than a regular tree structure? I do not know whether it is better or not, but it surely presents the same information in a totally new way!

One advantage of the radial tree...

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