Multidimensional OLAP products provide an excellent opportunity for integrating mining functionality because of their widespread acceptance as a decision support tool and their existing heavy reliance on manual, user-driven analysis. Most OLAP products are rather simplistic and rely heavily on the user's intuition to manually drive the discovery process. Mining technology can play a fitting role in improving the state of these products. We propose a suite of extensions in the form of a toolkit attached with a OLAP product that will enable richer, faster answering of queries that are currently handled through manual exploration.
The following is a list of available operators in the iCube project.
| iDiff: Compact summary of reasons for differences in top-level aggregates |
| iExplore: Watch user browse the data and use that to define information content of unseen cells. |
| iRelax: Generalize from specific cases to general cases. |