Handling missing values in data mining - A case study of heart failure dataset.
Nongnuch PoolsawadLisa MooreChandrasekhar KambhampatiJohn G. F. ClelandPublished in: FSKD (2012)
Keyphrases
- missing values
- heart failure
- data mining
- imputation methods
- data imputation
- missing data
- missing data imputation
- incomplete data
- health care
- high dimensional data
- real world
- normal subjects
- data mining techniques
- missing attribute values
- data warehouse
- intrusion detection
- machine learning
- database
- nearest neighbor
- knowledge discovery
- decision support
- cross validation
- support vector machine
- outlier detection
- association rules
- medical data
- heart disease
- face recognition
- image processing