- author = "Robert E. Marmelstein",
- title = "GRaCCE: A Genetic Environment for Data Mining",
- booktitle = "Late Breaking Papers at the Genetic Programming 1998 Conference",
- year = "1998",
- editor = "John R. Koza",
- pages = "143",
- address = "University of Wisconsin, Madison, Wisconsin, USA",
- publisher_address = "Stanford, CA, USA",
- month = "22-25 " # jul,
- publisher = "Stanford University Bookstore",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://citeseer.ist.psu.edu/cache/papers/cs/7621/http:zSzzSzwww.ai.mit.eduzSzpeoplezSzunamayzSzgecco-phdzSzmarmel-ann98.pdf/gracce-a-genetic-environment.pdf",
-
URL = "
http://citeseer.ist.psu.edu/103989.html",
- size = "1 page",
- long_abstract = "Data mining is the automated search for interesting and useful relationships between attributes in databases. In this regard, the rules used by classifiers are inherently interesting because they distinguish between similar looking data of differing class. In this paper, we introduce the Genetic Rule and Classifier Construction Environment (GRaCCE) as a means for extracting classification rules from data. GRaCCE uses a multi-stage, Genetic Algorithm (GA) based approach to first reduce the...",
-
notes = "Nov 2012 http://citeseer.ist.psu.edu/103989.html
appears to be a longer (6 page) version of one page
that is actually in the GP-98 late breaking book. See
also \cite{Marmelstein:1998:GPCEE}
\cite{marmelstein:1998:ecdrs}.
GP-98LB",
