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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

Why subscribe?

10. Other Books You May Enjoy

Useful books

In this last section of the book, I will list useful books related to computer science and software engineering, starting with the field of databases.

Useful books on databases

As time series are connected to databases, I will give you a small list of classic books on databases:

Readings in Database Systems, Fourth Edition, edited by Joseph M. Hellerstein and Michael Stonebraker
Database Internals, written by Alex Petrov
Introduction to Data Mining, 2nd Edition, written by Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar
Database Systems: The Complete Book, 2nd Edition, written by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
Database Management Systems, 3rd Edition, written by Raghu Ramakrishnan and Johannes Gehrke

Databases and time series are not isolated from operating systems and computer programming. Therefore, it would be beneficial to have a strong Computer Science background when working with databases...

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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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