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Time Series Indexing

You're reading from Time Series Indexing Implement iSAX in Python to index time series with confidence

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781838821951

Length 248 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Author (1):

Mihalis Tsoukalos

View More author details

Table of Contents (11) Chapters

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

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10. Other Books You May Enjoy

Technical requirements

The GitHub repository for this book 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 ch05 folder. You can download the entire repository on your computer using git(1) or you can access the desired files via the GitHub user interface.

The rest of the chapter is locked

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Authors (1)

Mihalis Tsoukalos

Mihalis Tsoukalos

Mihalis Tsoukalos holds a BSc in Mathematics from the University of Patras and an MSc in IT from University College London, UK. His books, Go Systems Programming and Mastering Go, have become must-reads for Unix and Linux systems professionals. He enjoys writing technical articles and has written for Sys Admin, MacTech, C/C++ Users Journal, USENIX ;login:, Linux Journal, Linux User and Developer, Linux Format, and Linux Voice. His research interests include time series data mining, time series indexing, and databases.

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