Optimal Partitioning for Classification and Regression Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Electronic Commerce Research
Expert Systems with Applications: An International Journal
Mining product maps for new product development
Expert Systems with Applications: An International Journal
A data-mining approach for product conceptualization in a web-based architecture
Computers in Industry
Designing a business model for the content service of portable multimedia players
Expert Systems with Applications: An International Journal
Computer based pedestrian landscape design using decision tree templates
Advanced Engineering Informatics
Data mining techniques for improving the reliability of system identification
Advanced Engineering Informatics
An e-mail analysis method based on text mining techniques
Applied Soft Computing
A novel manufacturing defect detection method using association rule mining techniques
Expert Systems with Applications: An International Journal
Product portfolio identification with data mining based on multi-objective GA
Journal of Intelligent Manufacturing
An instrument for discovering new mobile service opportunities
International Journal of Mobile Communications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
Recent trends in paradigms of digital convergence have accentuated the notions of convergent products that are formed by adding new functions to an existing base product. However, a lacuna still remains in the literature as to systematic design of convergent product concepts (CPCs) based on functionality. This study proposes a systematic approach to design of CPCs based on online community information using data mining techniques. At the heart of the suggested approach is the combined use of association rule mining (ARM) and decision tree (DT) for discovering the significant relationships among items and detecting the meaningful conditions of items. Specifically, the proposed approach is composed of four steps: data collection and transformation, definition of target functions, identification of critical product features, and specification of design details. Three maps -function co-preferences map, feature relations map, and concepts specification map - are developed to aid decision making in design of CPCs, structuring and visualizing design implications. A case of the portable multimedia player (PMP) is presented to illustrate the proposed approach. We believe that our approach can reduce uncertainty and risk involved in the concept design stage.