Understanding sequential data
Sequential data is a specific type of data structure where the order of the elements matters, and each element has a relational dependency on its predecessors. This “sequential behavior” is distinct because it conveys information not just in the individual elements but also in the pattern or sequence in which they occur. In sequential data, the current observation is not only influenced by external factors but also by previous observations in the sequence. This dependency forms the core characteristic of sequential data.
Understanding the different types of sequential data is essential to appreciate its broad applications. Here are the primary categories:
- Time series data: This is a series of data points indexed or listed in time order. The value at any point in time is dependent on the past values. Time series data is widely used in various fields, including economics, finance, and healthcare.
- Textual data: Text data...
