Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry.
Marta FernandesAlda CanitoVerónica Bolón-CanedoLuís ConceiçãoIsabel PraçaGoreti MarreirosPublished in: Int. J. Inf. Manag. (2019)
Keyphrases
- data analysis
- feature selection
- data pre processing
- case study
- machine learning
- text categorization
- mutual information
- data mining
- test bed
- predictive modeling
- text classification
- data processing
- feature subset
- multi task
- business intelligence
- data collection
- high dimensionality
- multi class
- knowledge discovery
- feature extraction
- big data
- world wide
- feature selection algorithms
- support vector
- information gain
- feature space
- data analytics
- predictive analytics
- feature set
- dimensionality reduction
- feature ranking
- small sample
- method for feature selection
- similarity measure
- data preparation
- unsupervised feature selection
- multi aspect
- discriminative features
- feature weighting
- predictive model
- software maintenance
- data mining applications
- high dimensional
- microarray data
- classification accuracy
- cluster analysis
- data warehouse