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)

A quick look at the iSAX Python package

In this section, we will take a first look at the iSAX Python package to get a better idea of the supported functionality. Although we will begin with the code from the sax package we developed in Chapter 2, we are going to rename that package isax and create additional source code, which is named isax.py.

The structure of the isax directory with the Python files is going to be as follows:

$ tree isax/
isax/
├── SAXalphabet
├── __init__.py
├── isax.py
├── sax.py
├── tools.py
└── variables.py
1 directory, 6 files

So, in total, we have six files. You already know five of them from the sax package. The only new one is the isax.py source code file, which is the core file for this chapter. Additionally, we are going to add more global variables to the variables.py file and some functions to tools.py.

The list of...