Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining relational patterns from multiple relational tables
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Information Sciences—Informatics and Computer Science: An International Journal
A relational model of data for large shared data banks
Communications of the ACM
TBAR: An efficient method for association rule mining in relational databases
Data & Knowledge Engineering
Essentials of Management Information Systems
Essentials of Management Information Systems
Modern Database Management
Mining Multiple-Level Association Rules in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Information Sciences—Applications: An International Journal
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Design of a multi-dimensional query expression for document warehouses
Information Sciences: an International Journal
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
Data mining a diabetic data warehouse
Artificial Intelligence in Medicine
Gather customer concerns from online product reviews - A text summarization approach
Expert Systems with Applications: An International Journal
Mining tourist imagery to construct destination image position model
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Technical construction methods for e-marketplace
Proceedings of the 11th International Conference on Electronic Commerce
Electronic Commerce Research and Applications
Marketing database knowledge extraction: towards a domain ontology
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm
Expert Systems with Applications: An International Journal
A semantic query approach to personalized e-catalogs service system
Journal of Theoretical and Applied Electronic Commerce Research
Hi-index | 12.06 |
This study mines customer behavior to assist managers in developing better promotion and other relevant policies for a firm. The association rules of the relational database design are implemented in the mining system which provides electronic catalog designs and promotional policies. It provides marketing managers with a useful tool to rapidly search for valuable information based on customer transaction information. Thus, it enables marketing managers to rapidly establish marketing strategies to enhance sales and profit. It results in better sales for the firm a retail store mall.