Brian R. Gaines* and Paul Compton** Knowledge Science Institute* University...  Home/Search
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Abstract: A methodology for the modeling of large data sets is described which results in rule sets having minimal inter-rule interactions, and being simply maintained. An algorithm for developing such rule sets automatically is described and its efficacy shown with standard test data sets. Comparative studies of manual and automatic modeling of a data set of some nine thousand five hundred cases are reported. A study is reported in which ten years of patient data have been modeled on a month by month... (Update)
Context of citations to this paper: More
...activity reuse. At this time no work has been done on combining RDR KBS components with other type of KBS although the KSSn tool (Gaines and Compton 1995) does allow RDR rules to be generated using the machine learning algorithm INDUCT. Catlett (1992) has also recommended...
.... Induct button in Figure 20 is clicked the inference rules shown in Figure 21 are returned, in this example as a pair of EDAGs (Gaines, 1995), one each for the two conclusion constructs specified. The interpretation of the first EDAG is that by default one should prescribe not...
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BibTeX entry: (Update)
Gaines, B.R. and Compton, P. (1995) Induction of Ripple-Down Rules Applied to Modeling Large Databases, Journal for Intelligent Information Systems 5(3): 211-228. http://citeseer.ist.psu.edu/gaines95induction.html More
@article{ gaines95induction,
author = "Brian R. Gaines and Paul Compton",
title = "Induction of Ripple-Down Rules Applied to Modeling Large Databases",
journal = "Journal of Intelligent Information Systems",
volume = "5",
number = "3",
pages = "211-228",
year = "1995",
url = "citeseer.ist.psu.edu/gaines95induction.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - Quinlan, Ed - 1993
1262 Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
185 Numerical Recipes in C: The Art of Scientific Computing (context) - Press, Flannery et al. - 1988
162 Simplifying decision trees - Quinlan - 1987
160 Knowledge Discovery in Databases (context) - Piatetsky-Shapiro, Frawley - 1991
44 A philosophical basis for knowledge acquisition - Compton, Jansen
36 Discovering rules by induction from large collections of exa.. (context) - Quinlan - 1979
22 An ounce of knowledge is worth a ton of data: quantitative s.. - Gaines - 1989
13 Empirical investigations of knowledge representation servers.. (context) - Gaines
9 Class library implementation of an open architecture knowled.. - Gaines - 1994
7 An algorithm for inducing modular rules (context) - Cendrowska - 1987
6 System identification (context) - Gaines - 1977
6 A comparison of a manual knowledge acquisition method and an.. (context) - Mansuri, Kim et al. - 1991
2 Ripple down rules: possibilities and limitations (context) - Compton, Edwards et al. - 1991
1 The tradeoff between knowledge and data in data acquisition (context) - Gaines
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