Distributed Incremental Machine Learning for Big Time Series Data.
Dhaval SalwalaSeshu TirupathiBrian QuanzWesley M. GiffordStuart SiegelVijay EkambaramArindam JatiPublished in: Big Data (2022)
Keyphrases
- machine learning
- distributed systems
- pattern recognition
- machine learning algorithms
- multi agent
- data analysis
- inductive logic programming
- distributed environment
- data driven
- explanation based learning
- active learning
- high dimensional
- computer science
- cooperative
- decision trees
- learning algorithm
- supervised machine learning
- databases
- incremental learning
- incremental updating
- fault tolerant
- machine learning methods
- text mining
- data points
- reinforcement learning