Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness.
Stefan LarsonAnthony ZhengAnish MahendranRishi TekriwalAdrian CheungEric GuldanKevin LeachJonathan K. KummerfeldPublished in: EMNLP (1) (2020)
Keyphrases
- data collection
- data sets
- experimental data
- probability distribution
- statistical analysis
- simulation data
- learning models
- data mining methods
- data analysis
- database
- data processing
- input data
- collecting data
- empirical data
- original data
- mathematical model
- image data
- knowledge discovery
- data points
- probabilistic model
- prior knowledge
- data structure
- data mining techniques
- computational model
- predictive model
- raw data
- collected data
- neural network
- data entry
- data mining
- measured data
- training data
- interesting patterns
- objective function
- temporal information
- network structure
- wireless sensor networks
- high dimensional data
- sensor networks