The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A framework for data mining pattern management
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
PSYCHO: a prototype system for pattern management
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Measuring performance in the retail industry (position paper)
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
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Patterns are concise, but rich in semantic, representation of data. The approaches proposed in the literature and by commercial systems for pattern management usually deal with few types of knowledge artifacts and mainly concern pattern extraction issues. Little effort has been posed in designing an overall framework dedicated to the management of different types of patterns, possibly user-defined, in an homogeneous way. PSYCHO (Pattern based SYstem arCHitecture prOtotype) is a recently developed tool, built on top of Oracle technologies, for generating, representing, and manipulating heterogeneous patterns, possibly user-defined. The aim of this paper is to present the PSYCHO system, by discussing the underlying theory, the reference architecture, and providing concrete examples of its usage.