Combining multiple correspondence analysis with association rule mining to conduct user-driven product design of wearable devices.
Chih-Hsuan WangSu-Hau NienPublished in: Comput. Stand. Interfaces (2016)
Keyphrases
- association rule mining
- combining multiple
- user driven
- product design
- correspondence analysis
- wearable devices
- association rules
- factor analysis
- end users
- design process
- conceptual design
- life cycle
- categorical data
- data mining techniques
- data mining
- itemsets
- knowledge discovery
- customer satisfaction
- knowledge management
- frequent itemsets
- feature selection
- neural network
- knowledge engineering
- collaborative filtering