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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

Exercises

Try to work through the following exercises:

Create a synthetic dataset with 100,000 elements with values from -10 to 10 and construct an iSAX index with 4 segments, a cardinality of 64, and a threshold value of 1000. How much time did it take your machine to create the iSAX index? Are there any overflows?
Create a synthetic dataset with 100,000 elements with values from -1 to 1 and construct an iSAX index with 4 segments, a cardinality of 64, and a threshold value of 1000. How much time did it take your machine to create that iSAX index?
Create a synthetic dataset with 500,000 elements with values from 0 to 10 and construct an iSAX index with 4 segments, a cardinality of 64, and a threshold value of 1000. How much time did it take your machine to create the iSAX index?
Create a synthetic dataset with 500,000 elements with values from 0 to 10 and construct an iSAX index with 4 segments, a cardinality of 64, and a threshold value of 1000. How many splits...

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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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