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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 iSAX as a Collapsible Tree

Although the zoomable icicle looks very promising, some people might want a visualization that looks like a tree but still has some of the versatility of the zoomable icicle. For those people, we are going to try the Collapsible Tree.

First, we go to the CollapsibleTree directory and then we run the Python web server. Then, we go to http://localhost:8000/. Figure 6.13 shows the output of the Collapsible Tree visualization:

Figure 6.13 – Visualizing iSAX as a Collapsible Tree

Figure 6.13 – Visualizing iSAX as a Collapsible Tree

The main advantage of the Collapsible Tree is that we can expand or collapse nodes at will, which means that we can easily concentrate on the nodes that interest us the most instead of getting lost in the details of the iSAX index.

However, the Collapsible Tree does not display the number of subsequences stored under each subtree of the index.

In this last section, we saw the operation of the Collapsible Tree and understood its...

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