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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 time series

Here is a list of research papers regarding time series clustering and anomaly detection that you might find interesting:

  • A Review on Outlier/Anomaly Detection in Time Series Data, written by Ane Blazquez-Garcia, Angel Conde, Usue Mori, and Jose A. Lozano
  • Anomaly Detection in Time Series: A Comprehensive Evaluation, written by Sebastian Schmidl, Phillip Wenig, and Thorsten Papenbrock
  • A Review of Time-Series Anomaly Detection Techniques: A Step to Future Perspectives, written by Kamran Shaukat, Talha Mahboob Alam, Suhuai Luo, Shakir Shabbir, Ibrahim A. Hameed, Jiaming Li, Syed Konain Abbas, and Umair Javed
  • Time-series clustering – A decade review, written by Saeed Aghabozorgi, Ali Seyed Shirkhorshidi, and Teh Ying Wah
  • Anomaly Detection for Discrete Sequences: A Survey, written by Varun Chandola, Arindam Banerjee, and Vipin Kumar

The next section mentions some interesting research papers on databases.

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