Temporal data refers to data that is related to time or the sequence in which events occur. This type of data includes time-stamped records, time series data, and historical data that changes over time. Temporal data analysis involves studying patterns, trends, and relationships in data over time to gain insights into how processes evolve or change. This research area is important in diverse fields such as finance, healthcare, transportation, and environmental science for forecasting, monitoring, and decision-making purposes. Techniques used in temporal data analysis include time series analysis, event sequencing, and trend analysis.