Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Computers and Industrial Engineering
Predicting customer behavior in the market-space: a study of Rayport and Sviokla's framework
Information and Management
Rough Set Analysis of Preference-Ordered Data
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Stochastic dominance-based rough set model for ordinal classification
Information Sciences: an International Journal
Discernibility matrix simplification for constructing attribute reducts
Information Sciences: an International Journal
An e-customer behavior model with online analytical mining for internet marketing planning
Decision Support Systems
Mining changes in customer behavior in retail marketing
Expert Systems with Applications: An International Journal
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A parallel method for computing rough set approximations
Information Sciences: an International Journal
A rule-based method for identifying the factor structure in customer satisfaction
Information Sciences: an International Journal
Towards group behavioral reason mining
Expert Systems with Applications: An International Journal
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Information Sciences: an International Journal
Alternative rule induction methods based on incremental object using rough set theory
Applied Soft Computing
An extended fuzzy measure on competitiveness correlation based on WCY 2011
Knowledge-Based Systems
Do impression management tactics and/or supervisor-subordinate guanxi matter?
Knowledge-Based Systems
A fuzzy integral fusion approach in analyzing competitiveness patterns from WCY2010
Knowledge-Based Systems
Behavioral modeling with the new bio-inspired coordination generalized molecule model algorithm
Information Sciences: an International Journal
Information Sciences: an International Journal
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Market segmentation is a crucial activity in the present business environment. Data mining is a useful tool for identifying customer behavior patterns in large amounts of data. This information can then be used to help with decision-making in areas such as the airline market. In this study, we use the Dominance-based Rough Set Approach (DRSA) to provide a set of rules for determining customer attitudes and loyalties, which can help managers develop strategies to acquire new customers and retain highly valued ones. A set of rules is derived from a large sample of international airline customers, and its predictive ability is evaluated. The results, as compared with those of multiple discriminate analyses, are very encouraging. They prove the usefulness of the proposed method in predicting the behavior of airline customers. This study demonstrates that the DRSA model helps to identify customers, determine their characteristics, and facilitate the development of a marketing strategy.