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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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Toc

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

Explaining the Python code

The code in iSAXjoin.py is going to be presented in five parts.

The first part is the following:

from isax import variables
from isax import tools
def Join(iSAX1, iSAX2):
    # Begin with the children of the root node.
    # That it, the nodes with SAX words
    # with a Cardinality of 1.
    for t1 in iSAX1.children:
        k1 = iSAX1.children[t1]
        if k1 == None:
            continue
        for t2 in iSAX2.children:
            k2 = iSAX2.children[t2]
            if k2 == None:
               ...
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