Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Quantitative Data Analysis for Social Scientists
Quantitative Data Analysis for Social Scientists
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Mining inter-organizational retailing knowledge for an alliance formed by competitive firms
Information and Management
Expert Systems with Applications: An International Journal
Searching customer patterns of mobile service using clustering and quantitative association rule
Expert Systems with Applications: An International Journal
Using back-propagation to learn association rules for service personalization
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This study analyzes the purchase patterns of MPEG Audio Layer-3 Players (MP3) customers in Korea. Factor analysis, clustering, and association rules are used to find the purchase patterns of segmented groups. From our analysis, 7 major factors were identified: technique, business, stylishness, rationale, late adaptor, pragmatic propensity, and music. Based on these factors and demographic data, six types of user groups are identified. Subsequently, we identify the chain of purchase processes of each cluster of customers. Finally, we propose target marketing strategies for segmented groups. We expect that our study results can provide direction for marketing and public relations strategies for MP3P manufacturers.