Computational Time Series Analysis

Computational Time Series Analysis involves using computers and algorithms to examine data points collected over time. This process helps identify patterns, trends, or changes within data sequences, such as stock prices, weather data, or sensor readings. By analyzing these patterns, we can make informed predictions, detect anomalies, or understand underlying behaviors. The goal is to extract meaningful information from time-ordered data efficiently and accurately, enabling better decision-making across various fields like finance, healthcare, and engineering.