Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Global corporate web sites: an empirical investigation of content and design
Information and Management
Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The Security of Confidential Numerical Data in Databases
Information Systems Research
Mining inter-organizational retailing knowledge for an alliance formed by competitive firms
Information and Management
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
Editorial: data mining for financial decision making
Decision Support Systems - Special issue: Data mining for financial decision making
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
An e-customer behavior model with online analytical mining for internet marketing planning
Decision Support Systems
Market basket analysis in a multiple store environment
Decision Support Systems
Decision Support Systems - Special issue: Intelligence and security informatics
Supporting mobile decision making with association rules and multi-layered caching
Decision Support Systems
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Information Systems Research
Privacy Protection in Data Mining: A Perturbation Approach for Categorical Data
Information Systems Research
Journal of Management Information Systems
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
A pervasive P3P-based negotiation mechanism for privacy-aware pervasive e-commerce
Decision Support Systems
Context Based Positive and Negative Spatio-Temporal Association Rule Mining
Knowledge-Based Systems
Mining stable patterns in multiple correlated databases
Decision Support Systems
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We propose a new approach to performing market basket analysis in a multiple-store and multiple-period environment. In using the method, the user first defines a time concept hierarchy and a place (location) hierarchy, according to his or her application and needs. A set of contexts is systematically derived from the two hierarchies by combining the concept levels of the two hierarchies. We developed an efficient algorithm for extracting the association rules, which meet the support and confidence requirements for all the contexts. Using the approach, a decision maker can analyze purchasing patterns at very detailed concept levels of time and place, such as a combination of days and stores, at more general levels, such as a combination of quarters and states, and combinations of detailed levels of one with general level of the other, such as a combination of days and regions. In addition to this flexibility, the association rules are well organized, because they are generated according to the contexts derived from the time and place hierarchies. A numerical evaluation shows that the algorithm is efficient in running time and may generate more specific and richer information than the store-chain rules and the traditional rules.