Data mining for customer service support
Information and Management
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Using information retrieval techniques for supporting data mining
Data & Knowledge Engineering
Mining product maps for new product development
Expert Systems with Applications: An International Journal
Mining customer knowledge for product line and brand extension in retailing
Expert Systems with Applications: An International Journal
Explication and sharing of design knowledge through a novel product design approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Mining customer knowledge for tourism new product development and customer relationship management
Expert Systems with Applications: An International Journal
Mining shopping behavior in the Taiwan luxury products market
Expert Systems with Applications: An International Journal
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Many enterprises devote a significant portion of their budget to new product development (NPD) and marketing to make their products distinctive from those of competitors, and better fit the needs and wants of consumers. Hence, knowledge and feedback on customer demand and consumption experience has become an important information and asset for enterprises. This paper investigates the following research issues in a world leading bicycle brand/manufacture company, GIANT of Taiwan: what exactly are the customers' "functional needs" and "wants" for bicycles? Does knowledge of the customers and the product itself reflect the needs of the market? Can product design and planning for production lines be integrated with the knowledge of customers and market channels? Can the knowledge of customers and market channels be transformed into knowledge assets of the enterprises during the stage of NPD? The a priori algorithm is a methodology of association rule for data mining, which is implemented for mining demand chain knowledge from channels (sales and maintenance) and customers. Knowledge extraction from data mining results is illustrated as knowledge patterns and rules in order to propose suggestions and solutions to the case firm for NPD and marketing.