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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

Using the iSAX Python package

In this section, we are going to use the isax Python package to develop practical command-line utilities. But first, we are going to learn how to read the iSAX parameters from the users.

Reading the iSAX parameters

This subsection illustrates how to read the iSAX parameters, including the filenames with the time series, and how to give default values to some of them. Although we saw relevant code in Chapter 2, this time, the process is explained in more detail. Additionally, the code is also going to show how we use these input parameters to set up the relevant variables located inside the ./isax/variables.py file. As a reminder, variables stored in ./isax/variables.py, or other similar files – it just happens that we are using ./isax/variables.py – are accessible from anywhere in our code as long as we have successfully imported the relevant file.

What we need to create an iSAX index

As a reminder, to create an iSAX index, we...

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