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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

Understanding how iSAX works

In this section, we will discuss the way iSAX works, which includes the construction phase as well as its usage and parameters. Apart from the required theory, we will also present a handy command-line utility that helps you understand how many subsequences an iSAX index can have, given its parameters.

How iSAX and SAX are related

The way iSAX and the SAX representation are related is simple. The keys on all the nodes of an iSAX index, apart from the root node, which has no key, are all SAX representations. So, a big part of building and searching an iSAX index is based on SAX.

We do not delete or update elements in an iSAX index not because it is not possible but because this is not how an iSAX index works.

It is now time to discuss the parameters of an iSAX index because the construction of an iSAX depends on them.

The cardinality parameter

The cardinality parameter is the same as in SAX, but it has some small differences for the sake...

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