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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

Interesting research papers on databases

As time series are connected to databases, I will give you a small list of classical research papers on databases:

  • Global Query Optimization, written by Timos K. Sellis
  • The design of POSTGRES, written by Michael Stonebraker and Lawrence A. Rowe
  • The design and implementation of INGRES, written by Michael Stonebraker, Gerald Held, Eugene Wong, and Peter Kreps
  • A Relational Model Of Data for Large Shared Data Banks, written by E. F. Codd
  • The Seattle report on database research, which can be found at https://dl.acm.org/doi/10.1145/3524284

The next section proposes some interesting and valuable books on databases.

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