Time Series Indexing: Implement iSAX in Python to index time series with confidence (repost)
Time Series Indexing: Implement iSAX in Python to index time series with confidence
English | 2023 | ISBN: 9781838821951 | 248 Pages | PDF EPUB (True) | 9 MB
English | 2023 | ISBN: 9781838821951 | 248 Pages | PDF EPUB (True) | 9 MB
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.