- What is an example for sequential data?
- What is sequential file input?
- How is data stored in a sequential file?
- Which model is best for sequential data?
What is an example for sequential data?
Sequential Data refers to any data that contain elements that are ordered into sequences. Examples include time series, DNA sequences (see biomedical informatics) and sequences of user actions. Techniques for learning from sequential data include Markov models, Conditional Random Fields and time series techniques.
What is sequential file input?
Sequential files. A sequential file is an ordinary text file. Each character in the file is assumed to be either a text character or some other ASCII control character such as newline. The character is in the character set specified when the file is opened. By default this is the platform-native character set.
How is data stored in a sequential file?
A sequential file contains records organized by the order in which they were entered. The order of the records is fixed. Records in sequential files can be read or written only sequentially. After you place a record into a sequential file, you cannot shorten, lengthen, or delete the record.
Which model is best for sequential data?
Recurrent neural network (RNN) is a popular sequence model that has shown efficient performance for sequential data.