Book Image

Time Series Indexing

By : Mihalis Tsoukalos
Book Image

Time Series Indexing

By: Mihalis Tsoukalos

Overview of this book

Time series are everywhere, ranging from financial data and system metrics to weather stations and medical records. Being able to access, search, and compare time series data quickly is essential, and this comprehensive guide enables you to do just that by helping you explore SAX representation and the most effective time series index, iSAX. The book begins by teaching you about the implementation of SAX representation in Python as well as the iSAX index, along with the required theory sourced from academic research papers. The chapters are filled with figures and plots to help you follow the presented topics and understand key concepts easily. But what makes this book really great is that it contains the right amount of knowledge about time series indexing using the right amount of theory and practice so that you can work with time series and develop time series indexes successfully. Additionally, the presented code can be easily ported to any other modern programming language, such as Swift, Java, C, C++, Ruby, Kotlin, Go, Rust, and JavaScript. By the end of this book, you'll have learned how to harness the power of iSAX and SAX representation to efficiently index and analyze time series data and will be equipped to develop your own time series indexes and effectively work with time series data.
Table of Contents (11 chapters)

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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