MACHINE LEARNING TECHNIQUES FOR TIME SERIES PATTERN RECOGNITION: A COMPREHENSIVE EXPLORATION

---

Vijayanand Hunachyali, Dr. Neetu Agarwal

Vol 18, No 11 ( 2023 )   |  Licensing: CC 4.0   |   Pg no: 293-305   |   Published on: 30-11-2023

---

Abstract
This investigation focuses on recognizing patterns in time series data and explores the application of machine learning strategies for this purpose. Specifically, the objectives include identifying different types of time series data and their characteristics, examining the suitability of various machine learning models such as recurrent neural networks, decision trees, and support vector machines for pattern recognition, investigating strategies for feature selection in time series data encompassing both time and frequency domains, and analyzing the performance of different machine learning models across diverse types of time series data.

Keywords:
Time Series Data, Pattern Recognition, Machine Learning, Feature Selection, Performance Analysis

---

Download Full Article PDF