Cube Based Incremental Data Mining
Using Multi-Dimensional Cubes for Incremental Data Mining
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This work presents a cube-based approach forincremental data mining that operates on the data,rather than on the data mining algorithms. The ideawas to build a compressed replica of the full-blowndatabase by representing the database by means ofmulti-dimensional cubes, and then applying theoriginal data mining algorithms on the cube-baseddata. This way, the storage requirement toaccommodate the database is not affected by the newdata. Yet, the fact that we used the original datamining algorithms on the cube-based data makes ourincremental data mining approach very general as itcan be applied t...
This work presents a cube-based approach for
incremental data mining that operates on the data,
rather than on the data mining algorithms. The idea
was to build a compressed replica of the full-blown
database by representing the database by means of
multi-dimensional cubes, and then applying the
original data mining algorithms on the cube-based
data. This way, the storage requirement to
accommodate the database is not affected by the new
data. Yet, the fact that we used the original data
mining algorithms on the cube-based data makes our
incremental data mining approach very general as it
can be applied to all types of data mining models.
incremental data mining that operates on the data,
rather than on the data mining algorithms. The idea
was to build a compressed replica of the full-blown
database by representing the database by means of
multi-dimensional cubes, and then applying the
original data mining algorithms on the cube-based
data. This way, the storage requirement to
accommodate the database is not affected by the new
data. Yet, the fact that we used the original data
mining algorithms on the cube-based data makes our
incremental data mining approach very general as it
can be applied to all types of data mining models.
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