Causal schema induction for knowledge discovery.
Michael ReganJena D. HwangKeisuke SakaguchiJames PustejovskyPublished in: CoRR (2023)
Keyphrases
- knowledge discovery
- discovery process
- databases
- causal discovery
- data model
- knowledge discovery in databases
- rule induction
- causal models
- causal relationships
- data mining
- machine learning
- data mining techniques
- association rules
- data mining and knowledge discovery
- web mining
- xml schema
- causal networks
- formal concept analysis
- database schema
- text mining
- data analysis
- constructive induction
- schema evolution
- conceptual clustering
- program synthesis
- bayesian networks
- conceptual design
- data sets
- information retrieval
- discovering knowledge
- causal knowledge
- knowledge discovery and data mining
- xml data
- concept learning
- association rule mining
- inductive learning
- instance level
- database
- inductive databases
- causal theories
- causal relations
- conceptual schema
- causal reasoning
- qualitative models
- concept lattice
- data mining applications
- rough set theory
- metadata
- real world