Abstract
Pattern warehousing is the most significant new technology to model, store, retrieve and manipulate the patterns. Pattern cube and On-Line Knowledge Processing (OLKP) are introduced in this work to make pattern representation and processing more efficient. OLKP is the process of carrying out operations over the patterns which are stored in the pattern warehouse. The complexities of operations on semantic rich patterns make inappropriate the standard algebra database technology. Moreover, there is no qualified model for OLKP introduced till date. In this work, we address this issue by introducing Pattern Cube and Pattern Algebra with the underlying fundamental operators to support. For simplicity, association kinds of patterns are used to illustrate various operations and properties.
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