A descriptive classification for end user-relevant decisions of large-scale IT projects.
Ulrike AbeleinBarbara PaechPublished in: CHASE@ICSE (2013)
Keyphrases
- end users
- application development
- user interface
- classification accuracy
- pattern recognition
- user driven
- user requirements
- user experience
- text classification
- web applications
- feature vectors
- support vector
- machine learning
- training data
- feature space
- supervised learning
- decision makers
- feature extraction
- image classification
- case study
- business intelligence
- classification method
- decision trees
- decision making
- feature selection
- search tools
- management tools
- support vector machine svm
- training set