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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

iSAX – The Implementation

Before continuing with this chapter and starting to write code, make sure that you have a good understanding of the information covered in the previous chapter because this chapter is all about implementing iSAX in Python. As a general principle, if you cannot perform a task manually, you are not going to be able to perform it with the help of a computer – the same principle applies to constructing and using an iSAX index.

While reading this chapter, keep in mind that we are creating an iSAX index that fits in memory and does not use any external files to store the subsequences of each terminal node. The original iSAX paper suggested the use of external files to store the subsequences of each terminal node mainly because back then, RAM was limited compared to what is the case today, where we can easily have computers with many CPU cores and more than 64 GB of RAM. As a result, the use of RAM makes the entire process much faster than if we...

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