A hyper-box approach using relational databases for large scale machine learning.
Stelios E. PapadakisVangelis A. StykasGeorge MastorakisConstandinos X. MavromoustakisPublished in: TEMU (2014)
Keyphrases
- relational databases
- machine learning
- pattern recognition
- databases
- text mining
- object oriented
- relational model
- feature selection
- machine learning algorithms
- normal form
- data mining
- real world
- web scale
- reinforcement learning
- evolutionary algorithm
- supervised learning
- machine learning methods
- database
- small scale
- explanation based learning
- keyword search
- inductive logic programming
- functional dependencies
- real time
- text classification
- computational intelligence
- learning algorithm
- real life
- knowledge representation
- active learning
- data sets
- computational biology
- xml databases
- artificial intelligence
- inductive learning
- xml documents
- relational data
- learning problems
- learning tasks
- information extraction
- natural language processing
- learning systems
- semi supervised learning