Method for generating predictive models in a computer system

Details Method for generating predictive models in a computer system Method for generating predictive models in a computer system

1996-09-20

1997-11-25

Hafiz, Tariq R.

395 75, 395 10, G06F 1518

Patent

active

056921071

ABSTRACT:
Data mining system including a user interface 102, a plurality of data sources 114, at least one top-down data analysis module 104 and at least one bottom-up data analysis module 104' in cooperative communication with each other and with the user interface 102, and a server processor 106 in communication with the data sources 114 and with the data analysis modules 104, 104'. Data mining method involving the integration of top-down and bottom-up data mining techniques to extract 208 predictive models from a data source 114. A data source 114 is selected 200 and used to construct 202 a target data set 108. A data analysis module is selected 203 and module specific parameters are set 205. The selected data analysis module is applied 206 to the target data set based on the set parameters. Finally, predictive models are extracted 208 based on the target data set 108.

REFERENCES:
Kaufman, K., R. Michalski, and L. Kerschberg. "Mining for Knowledge in Databases: Goals and General Description of the INLEN System." Knowledge Discovery in Databases. eds, G. Pietetsky-Shapiro and W. Frawley. AAAI/MIT 1991.
Miller, David B. "Classic Cliches". Midrange Systems, Mar. 23, 1993 v6 n6 p. 39(2).
Szladow, A. "Rough Sets Working with imperfect data". AI Expert Jul. 1993 v8 n7 p. 36(6).
Petrovsky, M. "How's your Business IQ?" HP Professional Feb. 1993 v7 n2 p. 42(3).

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