Ordered Nominal Data Dataset
(Redirected from Discrete sequence)
An Ordered Nominal Data Dataset is an ordered dataset with nominal data items.
- AKA: Discrete Sequence Dataset, Symbolic String Dataset.
- Context:
- It can range from being a Temporal Symbolic Ordered Dataset to being a Non-Temporal Symbolic Ordered Dataset.
- Example(s):
- a Text-Item Dataset.
- a DNA Dataset.
- a Binary Sequence Dataset.
- …
- Counter-Example(s):
- See: String Record, Finite Symbol Alphabet.
References
2012
- (Chandola et al., 2012) ⇒ Varun Chandola, Arindam Banerjee, and Vipin Kumar. (2012). “Anomaly Detection for Discrete Sequences: A Survey.” In: IEEE Transactions on Knowledge and Data Engineering Journal, 24(5). doi:10.1109/TKDE.2010.235
- QUOTE: Sequence data is found in a wide variety of application domains such as intrusion detection, bio-informatics, weather prediction, system health management, etc. … A sequence is an ordered series of events. Sequences can be of different types, such as binary, discrete, and continuous, depending on the type of events that form the sequences. Discrete and continuous sequences (or time series) are two most important form of sequences encountered in real life. In this survey we will focus on discrete sequences. Discrete or symbolic sequences are ordered sets of events such that the events are symbols belonging to a finite unordered alphabet.