Time-series anomaly detection using dynamic programming based longest common subsequence on sensor data.
Thi Phuong Quyen NguyenPhan Nguyen Ky PhucChao-Lung YangHendri SutrisnoBao-Han LuongThi Huynh Anh LeThanh Tung NguyenPublished in: Expert Syst. Appl. (2023)
Keyphrases
- sensor data
- anomaly detection
- longest common subsequence
- dynamic programming
- dynamic time warping
- edit distance
- subsequence matching
- finite automata
- sensor networks
- biological sequences
- intrusion detection
- similarity measure
- approximation algorithms
- sequence matching
- data streams
- similarity function
- detect anomalies
- network traffic
- unsupervised learning
- smart environments
- human activities
- intrusion detection system
- euclidean distance
- similarity search
- distance measure
- protein sequences
- machine learning
- wireless sensor networks
- pairwise
- image processing
- computer vision