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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

Summary

In this last chapter of the book, we included a long list of interesting books and research papers. Time series, time series data mining, and databases, in general, are interesting fields that will keep you busy for the rest of your life if you treat them with respect and keep experimenting and learning new things. I can assure you that you will never get bored with these fields, either in academia or in industry.

If you retain a single thing from this book, it is to be curious and experiment all the time.

However, the first step is finding what interests you the most and following that direction. If you are going to spend a large amount of your time on something, you should definitely find it interesting and challenging enough!

Thank you very much for choosing the book. Feel free to send any suggestions you might have for improving potential future editions of the book. Your comments and suggestions can make a difference!

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