Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Unexpectedness as a measure of interestingness in knowledge discovery
Decision Support Systems - Special issue on WITS '97
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
A data mining approach to product assortment and shelf space allocation
Expert Systems with Applications: An International Journal
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
Mining the change of event trends for decision support in environmental scanning
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A change detection method for sequential patterns
Decision Support Systems
A recommender system to avoid customer churn: A case study
Expert Systems with Applications: An International Journal
On exploiting the power of time in data mining
ACM SIGKDD Explorations Newsletter
A new method for ranking changes in customer's behavioral patterns in department stores
Proceedings of the 11th International Conference on Electronic Commerce
Discovering competitive intelligence by mining changes in patent trends
Expert Systems with Applications: An International Journal
Mining Customer Change Model Based on Swarm Intelligence
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A Dominance-based Rough Set Approach to customer behavior in the airline market
Information Sciences: an International Journal
A framework for discovering and analyzing changing customer segments
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Mining changes in patent trends for competitive intelligence
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Discovering and usage of customer knowledge in QoS mechanism for B2C web server systems
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Expert Systems with Applications: An International Journal
Mining the change of customer behavior in fuzzy time-interval sequential patterns
Applied Soft Computing
Segmenting customers by transaction data with concept hierarchy
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Efficient mining top-k regular-frequent itemset using compressed tidsets
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Expert Systems with Applications: An International Journal
Improved multilevel security with latent semantic indexing
Expert Systems with Applications: An International Journal
Distributed customer behavior prediction using multiplex data: A collaborative MK-SVM approach
Knowledge-Based Systems
An approach of affection thinking based on ant colony strategy
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Technology classification with latent semantic indexing
Expert Systems with Applications: An International Journal
Weak signal identification with semantic web mining
Expert Systems with Applications: An International Journal
A service oriented architecture to provide data mining services for non-expert data miners
Decision Support Systems
International Journal of Business Intelligence and Data Mining
| Hi-index | 12.07 |
During the past decade, there have been a variety of significant developments in data mining techniques. Some of these developments are implemented in customized service to develop customer relationship. Customized service is actually crucial in retail markets. Marketing managers can develop long-term and pleasant relationships with customers if they can detect and predict changes in customer behavior. In the dynamic retail market, understanding changes in customer behavior can help managers to establish effective promotion campaigns. This study integrates customer behavioral variables, demographic variables, and transaction database to establish a method of mining changes in customer behavior. For mining change patterns, two extended measures of similarity and unexpectedness are designed to analyze the degree of resemblance between patterns at different time periods. The proposed approach for mining changes in customer behavior can assist managers in developing better marketing strategies.