: Success in implementing a Customer Relationship Management (CRM) system requires close attention to data quality issues. However, most of the literature focuses on the quality of...
John R. Talburt, Kimberly Hess, Richard Wang, Emil...
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new a...
IT infrastructures coupled with BPR initiatives have the potential of supporting and enabling new organizational forms and helping firms face the challenges of globalization. The ...
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...