Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data.
Sayde KingMohamed EbraheemKhadija ZannaTempestt J. NealPublished in: FG (2020)
Keyphrases
- feature set
- privacy preserving
- sensor data
- classification accuracy
- feature selection
- feature vectors
- sensor data streams
- human activities
- sensor networks
- feature extraction
- feature reduction
- privacy preserving data mining
- feature space
- support vector machine classification
- pattern recognition
- learning algorithm
- feature selection algorithms
- feature extraction and selection
- privacy preserving classification
- privacy preservation
- training set
- data privacy
- image classification
- database
- preserving privacy
- sensor readings
- kernel function
- horizontally partitioned data
- privacy protection
- classification method
- classification algorithm
- data management
- support vector machine
- mobile devices
- data streams
- support vector
- image processing
- machine learning