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)

Visualizing iSAX Indexes

In the previous chapter, we learned about comparing and joining iSAX indexes. However, it is still difficult to imagine the structure and the height of an iSAX index without seeing it as an image.

And although some people prefer text, some other people prefer log files, and some others prefer numbers, almost all people like good-looking and informative visualizations. Additionally, all people understand the importance of having a high-level view of their data. This includes iSAX indexes and tree structures in general, mainly because there is no other practical way to perform the same task, especially when working with big time series.

In Chapter 1, we saw how to visualize a time series. This chapter is all about visualizing iSAX indexes in order to get a better understanding of their size, shape, and structure.

Visualizing large structures and trees such as iSAX indexes is not a trivial process but of a trial-and-error one. As no single visualization...