Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
The new k-windows algorithm for improving the k-means clustering algorithm
Journal of Complexity
Using information retrieval techniques for supporting data mining
Data & Knowledge Engineering
Expert Systems with Applications: An International Journal
Mining demand chain knowledge of life insurance market for new product development
Expert Systems with Applications: An International Journal
Ontology-based data mining approach implemented for sport marketing
Expert Systems with Applications: An International Journal
Mining demand chain knowledge for new product development and marketing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Comparing classification techniques for predicting essential hypertension
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Data mining for credit card fraud: A comparative study
Decision Support Systems
Hi-index | 12.05 |
The rapid growth of Taiwan's economy has been accompanied by the country's developing market for luxury products. To successfully establish the new market demand chain for the luxury industry in Taiwan, it is essential to understand customer preferences. Thus, this study uses an association rules approach and clustering analysis for data mining to mine knowledge among luxury product-buying customers in Taiwan. The results of knowledge extraction from data mining, illustrated as knowledge patterns, rules and knowledge maps, are used to make recommendations for future developments in the luxury products industry.