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)

Computing the Matrix Profile using iSAX

First of all, let us make something clear: we are going to present an approximate method. If you want to calculate the exact Matrix Profile, then you should use an implementation that uses the original algorithm.

The idea behind the used technique is the following: it is more likely that the nearest neighbor of a subsequence is going to be found in the subsequences stored in the same terminal node as the subsequence under examination. Therefore, we do not need to check all the subsequences of the time series, just a small subset of them.

The next subsection discusses and resolves an issue that might come up in our calculations, which is what are we going to do if we cannot find a proper match for a subsequence in a terminal node.

What happens if there is not a valid match?

In this subsection, we are going to clarify the problematic cases of the process. There exist two conditions that might end up in an undesired situation:

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