Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Data Mining Oriented System for Business Applications
DS '98 Proceedings of the First International Conference on Discovery Science
DS '99 Proceedings of the Second International Conference on Discovery Science
Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior
DS '00 Proceedings of the Third International Conference on Discovery Science
A quantitative analysis of eCRM tools in the Austrian pharmaceutical industry
ICWE'03 Proceedings of the 2003 international conference on Web engineering
String analysis technique for shopping path in a supermarket
Journal of Intelligent Information Systems
Extraction of customer potential value using unpurchased items and in-store movements
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Data mining oriented CRM systems based on MUSASHI: C-MUSASHI
AM'03 Proceedings of the Second international conference on Active Mining
Topic model for analyzing purchase data with price information
Data Mining and Knowledge Discovery
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Pharma, a drugstore chain in Japan, has beenremarkably successful in the effective use of data mining. Fromover one tera bytes of sales data accumulated in databases, ithas derived much interesting and useful knowledge that in turnhas been applied to produce profits. In this paper, we shallexplain several interesting cases of knowledge discovery atPharma. We then discuss the innovative features of the datamining system developed in Pharma that led to meaningfulknowledge discovery.