Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A dimensional modeling manifesto
DBMS - Special issue on data warehousing
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Event Driven Business Solutions: Today's Revolution in Business and Information Technology
Event Driven Business Solutions: Today's Revolution in Business and Information Technology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
LISA '98 Proceedings of the 12th USENIX conference on System administration
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A new data model is proposed using a traditional accounting approach to model an organization's transactional data and extending this model to include not only financial information but also internal business process, learning and growth, and customer perspectives. It provides an organization with a single data model that supports both transactional and data warehousing needs. The model has a very small footprint and uses replication tables for data mining purposes. The model is generic so that changes in information requirements of the application do not imply the need to change the model itself. Implementations of the model can provide a uniform report generation environment for standard reports as well as OLAP and data mining activities. Implementations can include data used in query optimization strategies for applications such as association rule mining.