Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology.
Rui RibeiroAndré Luiz PilastriCarla MouraFilipe RodriguesRita RochaPaulo CortezPublished in: ICEIS (1) (2020)
Keyphrases
- crisp dm
- machine learning
- data mining
- data preparation
- knowledge discovery
- process model
- data mining process
- data mining projects
- decision trees
- knowledge discovery in databases
- model selection
- text mining
- learning algorithm
- text classification
- computational intelligence
- information extraction
- feature selection
- artificial intelligence
- knowledge acquisition
- association rules
- classification rules
- inductive logic programming
- preprocessing
- feature extraction
- information retrieval