Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application.
Honghai FengBaoyan LiuLiyun HePublished in: K-CAP (2005)
Keyphrases
- missing values
- rough sets
- missing data
- incomplete data
- data analysis
- data sets
- rough set theory
- knowledge discovery
- data points
- high dimensional data
- data imputation
- input data
- continuous valued attributes
- image processing
- machine learning
- original data
- data quality
- fuzzy sets
- data mining
- decision table
- multi attribute
- neural network
- condition attributes
- rough sets theory
- information entropy
- data cleaning
- numerical data
- attribute values
- pattern recognition
- dimensionality reduction
- low dimensional