System and method for building decision tree classifiers...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

07571159

ABSTRACT:
A method, system, and computer program product for counting predictor-target pairs for a decision tree model provides the capability to generate count tables that is quicker and more efficient than previous techniques. A method of counting predictor-target pairs for a decision tree model, the decision tree model based on data stored in a database, the data comprising a plurality of rows of data, at least one predictor and at least one target, comprises generating a bitmap for each split node of data stored in a database system by intersecting a parent node bitmap and a bitmap of a predictor that satisfies a condition of the node, intersecting each split node bitmap with each predictor bitmap and with each target bitmap to form intersected bitmaps, and counting bits of each intersected bitmap to generate a count of predictor-target pairs.

REFERENCES:
patent: 7249149 (2007-07-01), Eatherton et al.
patent: 2005/0050016 (2005-03-01), Stanoi et al.
Cecile Favre et al. Bitmap Index-Based Decision Trees, May 2, 2005, Springer Berlin / Heidelberg, vol. 3488/2005, pp. 65-73, (http://www.springerlink.com/content/u0r8qvkpwa2wu8k6/fulltext.pdf).

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