An exploration of learning when data is noisy and imbalanced.
Jason Van HulseTaghi M. KhoshgoftaarAmri NapolitanoPublished in: Intell. Data Anal. (2011)
Keyphrases
- data sets
- raw data
- learning systems
- prior knowledge
- knowledge discovery
- data analysis
- data collection
- erroneous data
- data quality
- original data
- data processing
- input data
- machine learning
- high dimensional data
- database
- learning algorithm
- training data
- high quality
- image data
- data mining techniques
- missing data
- data points
- neural network
- noisy data
- data mining
- data structure
- human experts
- test data
- data distribution
- synthetic data
- learning process
- statistical analysis
- social networks
- knowledge acquisition
- dimensionality reduction