Generation of Individual Activity Classifiers for the Use in Mobile Context-Aware Applications.
Tony RolletschkeChristian RoschkeRico ThomanekBenny PlatteRobert MantheyFrank ZimmerPublished in: HCI (34) (2019)
Keyphrases
- context aware
- mobile applications
- smart phones
- mobile devices
- support vector
- mobile computing
- decision trees
- pervasive computing
- classification models
- training set
- ubiquitous computing
- test set
- mobile phone
- multiple classifiers
- training data
- context aware computing
- machine learning algorithms
- mobile learning
- data streams
- classification method
- virtual communities
- feature selection
- classification rate
- action recognition
- computing environments
- machine learning methods
- classification algorithm
- data sets
- naive bayes
- feature set
- machine learning