Anomaly Prediction Based on Machine Learning for Memory-Constrained Devices.
Yuto KitagawaTasuku IshigookaTakuya AzumiPublished in: IEICE Trans. Inf. Syst. (2019)
Keyphrases
- machine learning
- prediction accuracy
- machine learning methods
- memory requirements
- machine learning algorithms
- data mining
- prediction algorithm
- prediction model
- knowledge acquisition
- mobile devices
- information extraction
- anomaly detection
- pattern recognition
- main memory
- artificial intelligence
- machine learning and statistical
- random access
- memory usage
- prediction error
- learning algorithm
- learning tasks
- computer science
- computational intelligence
- inductive learning
- data structure
- computational biology
- learning systems
- computing power
- data sets