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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

Technical requirements

The GitHub repository with the code can be found at https://github.com/PacktPublishing/Time-Series-Indexing. The code for each chapter is in its own directory. Therefore, the code for this chapter can be found in the ch04 folder and the ch04 subfolders.

The first section takes a quick look at the Python package that we have developed for the purposes of this chapter, which strangely enough is called isax, before going into more detail.

What about bugs?

We have tried our best to give bug-free code. However, bugs might appear in any program, especially when a program is longer than 100 lines! That is why it is crucial to understand the principles behind the operation and construction of an iSAX index and the SAX representation to be able to understand that there might be a small or bigger issue with the code, or be able to port the existing implementation to a different programming language. I wrote the Python version of iSAX using a Java implementation...

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